Update modeling_nvembed.py (#44)

- Update modeling_nvembed.py (ce0a909ceec6190f532840234077d048d1e24e9d)


Co-authored-by: Nihal Nayak <[email protected]>

modeling_nvembed.py

@@ -8,7 +8,6 @@ from contextlib import nullcontext
 from transformers import AutoModel, PreTrainedTokenizerFast, BatchEncoding, DataCollatorWithPadding
 from transformers.modeling_utils import PreTrainedModel
 from transformers.models.auto import AutoTokenizer
-from transformers.models.mistral.modeling_mistral import MISTRAL_INPUTS_DOCSTRING
 from transformers.modeling_outputs import BaseModelOutputWithPast
 from transformers.modeling_attn_mask_utils import _prepare_4d_attention_mask, _prepare_4d_attention_mask_for_sdpa
 from transformers import MistralModel, MistralConfig
@@ -39,7 +38,6 @@ class BidirectionalMistralModel(MistralModel):
             layer.self_attn.is_causal = False
         self._attn_implementation = "eager"
 
-    @add_start_docstrings_to_model_forward(MISTRAL_INPUTS_DOCSTRING)
     def forward(
         self,
         input_ids: torch.LongTensor = None,