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huggingface: use AutoModel instead of SentenceTransformer #1250

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huggingface: use AutoModel instead of SentenceTransformer #1250

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e46e77b
Update huggingface.py
l4b4r4b4b4 Nov 6, 2023
545c148
Merge branch 'master' into patch-1
l4b4r4b4b4 Nov 7, 2023
4a247ec
Merge branch 'master' into patch-1
lunamidori5 Nov 9, 2023
c2982e5
Merge branch 'master' into patch-1
mudler Nov 11, 2023
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4 changes: 2 additions & 2 deletions extra/grpc/huggingface/huggingface.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@

import grpc

from sentence_transformers import SentenceTransformer
from transformers import AutoModel

_ONE_DAY_IN_SECONDS = 60 * 60 * 24

Expand Down Expand Up @@ -55,7 +55,7 @@ def LoadModel(self, request, context):
"""
model_name = request.Model
try:
self.model = SentenceTransformer(model_name)
self.model = AutoModel.from_pretrained(model_name, trust_remote_code=True) # trust_remote_code is needed to use the encode method with embeddings models like jinai-v2
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")

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