fef1a1c381
v0.4.3 ( #152 )
2023-03-30 17:28:14 +02:00
84722f3e33
v0.4.2 ( #151 )
2023-03-30 17:10:01 +02:00
610bb1f978
feat(benchmark): tui based benchmarking tool ( #149 )
2023-03-30 15:26:27 +02:00
d503e8f09d
feat: aws sagemaker compatible image ( #147 )
...
The only difference is that now it pushes to
registry.internal.huggingface.tech/api-inference/community/text-generation-inference/sagemaker:...
instead of
registry.internal.huggingface.tech/api-inference/community/text-generation-inference:sagemaker-...
---------
Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
2023-03-29 21:38:30 +02:00
f000068944
feat(server): clear cache on error ( #143 )
2023-03-28 11:29:35 +02:00
ab5fd8cf93
v0.4.1 ( #140 )
2023-03-26 16:37:51 +02:00
b49dbf2d88
fix(server): use server tokenizer as gt ( #128 )
2023-03-16 12:12:26 +01:00
cbd36aa4d1
fix(server): revert gpt-neox optims ( #123 )
2023-03-13 22:57:08 +01:00
411d6247f4
v0.4.0 ( #119 )
2023-03-09 16:07:01 +01:00
55bd4fed7d
feat(router): add best_of parameter ( #117 )
2023-03-09 15:30:54 +01:00
e8bfe199ba
feat(router): support left truncation ( #115 )
...
closes #111
2023-03-09 13:10:30 +01:00
1a2d68250a
feat: support typical sampling ( #114 )
...
closes #112
2023-03-09 11:33:57 +01:00
3fef90d50f
feat(clients): Python client ( #103 )
2023-03-07 18:52:22 +01:00
cd5961b5da
feat: allow local models ( #101 )
...
closes #99
2023-03-06 14:39:36 +01:00
1c19b0934e
v0.3.2 ( #97 )
2023-03-03 18:42:20 +01:00
9b8ea6a6c7
feat(server): add logits watermark ( #90 )
2023-03-02 12:30:41 +01:00
f874c47831
feat(router): add api-inference headers ( #91 )
2023-03-02 11:41:51 +01:00
4e685d907e
feat(router): ask hf.co for pipelinetag to decide on compat_return_full_text ( #89 )
2023-02-28 10:19:32 +01:00
21340f24ba
feat(router): add legacy route for api-inference support ( #88 )
2023-02-27 14:56:58 +01:00
0ac184ce77
feat(server): add special token bool ( #85 )
2023-02-24 15:55:57 +01:00
4b1c9720c0
v0.3.1 ( #84 )
2023-02-24 13:27:41 +01:00
6796d38c6d
feat(router): add cors allow origin options ( #73 )
2023-02-17 18:22:00 +01:00
c720555adc
v0.3.0 ( #72 )
2023-02-16 17:28:29 +01:00
439fcaf810
feat(router): add prometheus metrics scrape endpoint ( #71 )
2023-02-16 17:18:53 +01:00
5437d49beb
feat(router): add max_total_tokens and empty_input validation ( #68 )
...
closes #65
2023-02-15 21:56:59 +01:00
9af454142a
feat: add distributed tracing ( #62 )
2023-02-13 13:02:45 +01:00
e520d5b349
fixed SSE naming ( #61 )
...
https://en.wikipedia.org/wiki/Server-sent_events
2023-02-08 22:30:11 +01:00
2fe5e1b30e
V0.2.1 ( #58 )
2023-02-07 15:40:25 +01:00
20c3c5940c
feat(router): refactor API and add openAPI schemas ( #53 )
2023-02-03 12:43:37 +01:00
b1482d9048
breaking(router): modify /generate API to only return generated text ( #50 )
...
@njhill, @yk FYI
generated_text was concatenated to the user prompt for legacy reason. We
want to remove this behaviour as we don't think it is useful and even
detrimonial to usability.
We also remove the unused Vec.
2023-02-02 15:02:04 +01:00
7b870e1e18
feat(router): use background task to manage request queue ( #52 )
...
Co-authored-by: Nick Hill <nickhill@us.ibm.com>
2023-02-02 14:59:27 +01:00
313194f6d7
feat(server): support repetition penalty ( #47 )
2023-02-01 15:58:42 +01:00
017a2a8c2f
feat: Add token streaming using ServerSideEvents support ( #41 )
2023-01-31 17:04:00 +01:00
54fec93193
fix(server): fix seeding with multiple shards ( #44 )
2023-01-31 16:01:15 +01:00
4f9ac67cfa
Revert "feat: Add token streaming using ServerSideEvents support" ( #40 )
...
Reverts huggingface/text-generation-inference#36
2023-01-31 14:21:51 +01:00
7fbfbb0dc5
feat: Add token streaming using ServerSideEvents support ( #36 )
...
Add token streaming using ServerSideEvents (SSE).
The signature of the SSE events is:
```rust
struct Details {
finish_reason: String,
generated_tokens: u32,
seed: Option<u64>,
}
struct StreamResponse {
token: Token,
generated_text: Option<String>,
details: Option<Details>,
}
struct ErrorResponse {
error: String,
}
```
2023-01-31 11:49:43 +01:00
cd298bc5e5
feat: Support sampling seeding ( #37 )
...
Co-authored-by: Yannic Kilcher <yk@users.noreply.github.com>
2023-01-30 15:36:16 +01:00
1539d3cbbe
feat(router): Remove second lock from batcher hot path ( #27 )
...
@njhill
2023-01-26 16:29:13 +01:00
5c01e2544c
fix(router): fix api-inference deployment ( #31 )
2023-01-23 17:42:14 +01:00
f9d0ec376a
feat(docker): Make the image compatible with api-inference ( #29 )
2023-01-23 17:11:27 +01:00
15511edc01
feat(server): Support SantaCoder ( #26 )
2023-01-20 12:24:39 +01:00
f7ac394935
fix(router): Obey max batch size ( #23 )
2023-01-17 09:11:21 +01:00
e6d3eb5d5d
fix(server): Minor refactorization using new_zeros ( #24 )
...
- Fix some type hints, in particular base tokenizer class
- Make use of `tensor.new_zero/empty` methods
- Simplify env var string parsing in launcher
2023-01-17 09:10:22 +01:00
60472f9d2b
feat(router): Add const parameters to validation logic ( #15 )
...
I noticed some opportunity to collapse some of the logic, in case you
are interested.
2023-01-03 10:41:22 +01:00
3efa5bbbfd
fix(router): Include special tokens when tokenizing ( #14 )
...
There's currently a discrepancy in the tokenization between the router
and python server code. The latter includes special tokens but former
does not.
This results in a token count mismatch for seq2seq models such as mt0
where the tokenizer emits an EOS token at the end.
This in turn results in some unexpected/incorrect output, in particular
when batch concatenation is involved, because the python code uses the
input length passed from the router for each row.
As far as I can tell, it is better to include this token in the encoder
`input_ids`, so I guess it's best to just adjust on the router side.
2022-12-30 19:31:44 +01:00
32a253063d
feat: Return logprobs ( #8 )
2022-12-15 17:03:56 +01:00
718096f695
feat: Support stop sequences ( #7 )
2022-12-12 18:25:22 +01:00
a2985036aa
feat(server): Add model tests ( #6 )
2022-12-08 18:49:33 +01:00
31d76e238d
fix(batching): Avoid theoretical hang in batcher loop ( #5 )
...
- Avoid theoretical hang in batcher loop
- Avoid a couple of clones in the router generate method
- Keep attention mask tensors as integers
- Remove num_heads attribute
Co-authored-by: OlivierDehaene <Olivier.dehaene@gmail.com>
2022-12-05 10:10:59 +01:00
d6d5b12e03
fix(router): Handle tokenizer errors
2022-11-14 17:15:19 +01:00
OlivierDehaene