hf_text-generation-inference/server/text_generation_server/models
Nicolas Patry 90b226db29
We can have a tokenizer anywhere. (#2527)
* We can have a tokenizer anywhere.

* Handling potential lack of offsets (python tokenizer)

* Remove redundancy.

* Fixing the tests.

* Flake.lock update ?

* Fixing the  GIL locking.

* Fixing mamba by using the transformers version.

* Adding the legacy handle.

* Ellide lifetime.

* Lint.

* Deprecation message.

* Fixing bad rebase.
2024-10-28 05:00:24 +01:00
..
custom_modeling We can have a tokenizer anywhere. (#2527) 2024-10-28 05:00:24 +01:00
__init__.py We can have a tokenizer anywhere. (#2527) 2024-10-28 05:00:24 +01:00
bloom.py Refactor dead code - Removing all `flash_xxx.py` files. (#2166) 2024-07-05 10:29:56 +02:00
causal_lm.py feat: prefill chunking (#2600) 2024-10-16 12:49:33 +02:00
flash_causal_lm.py Choosing input/total tokens automatically based on available VRAM? (#2673) 2024-10-28 04:59:49 +01:00
galactica.py feat: add ruff and resolve issue (#2262) 2024-07-26 10:29:09 -04:00
globals.py feat: prefill chunking (#2600) 2024-10-16 12:49:33 +02:00
idefics_causal_lm.py feat: prefill chunking (#2600) 2024-10-16 12:49:33 +02:00
mamba.py Choosing input/total tokens automatically based on available VRAM? (#2673) 2024-10-28 04:59:49 +01:00
metadata_kernels.py feat: add triton kernels to decrease latency of large batches (#2687) 2024-10-25 21:10:00 +00:00
mllama_causal_lm.py feat: add triton kernels to decrease latency of large batches (#2687) 2024-10-25 21:10:00 +00:00
model.py Choosing input/total tokens automatically based on available VRAM? (#2673) 2024-10-28 04:59:49 +01:00
pali_gemma.py feat: add ruff and resolve issue (#2262) 2024-07-26 10:29:09 -04:00
seq2seq_lm.py feat: prefill chunking (#2600) 2024-10-16 12:49:33 +02:00
types.py feat: prefill chunking (#2600) 2024-10-16 12:49:33 +02:00
vlm_causal_lm.py feat: add triton kernels to decrease latency of large batches (#2687) 2024-10-25 21:10:00 +00:00