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swarecito
/
smol-256

Image-Text-to-Text
Transformers
ONNX
Safetensors
English
smolvlm
conversational
Model card Files Community
swarecito commited on
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8dede70
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1 Parent(s): 0666409

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  1. .venv/lib/python3.13/site-packages/pip/_vendor/__pycache__/typing_extensions.cpython-313.pyc +2 -2
  2. .venv/lib/python3.13/site-packages/pip/_vendor/distlib/t64-arm.exe +2 -2
  3. .venv/lib/python3.13/site-packages/pip/_vendor/distlib/t64.exe +2 -2
  4. .venv/lib/python3.13/site-packages/pip/_vendor/distlib/w64-arm.exe +2 -2
  5. .venv/lib/python3.13/site-packages/pip/_vendor/distlib/w64.exe +2 -2
  6. .venv/lib/python3.13/site-packages/pip/_vendor/idna/__pycache__/uts46data.cpython-313.pyc +2 -2
  7. .venv/lib/python3.13/site-packages/pip/_vendor/pkg_resources/__pycache__/__init__.cpython-313.pyc +2 -2
  8. .venv/lib/python3.13/site-packages/pip/_vendor/rich/__pycache__/_emoji_codes.cpython-313.pyc +2 -2
  9. .venv/lib/python3.13/site-packages/pip/_vendor/rich/__pycache__/console.cpython-313.pyc +2 -2
  10. handler.py +9 -6
  11. model.safetensors +2 -2
  12. onnx/decoder_model_merged.onnx +2 -2
  13. onnx/decoder_model_merged_bnb4.onnx +2 -2
  14. onnx/decoder_model_merged_fp16.onnx +2 -2
  15. onnx/decoder_model_merged_int8.onnx +2 -2
  16. onnx/decoder_model_merged_q4.onnx +2 -2
  17. onnx/decoder_model_merged_q4f16.onnx +2 -2
  18. onnx/decoder_model_merged_quantized.onnx +2 -2
  19. onnx/decoder_model_merged_uint8.onnx +2 -2
  20. onnx/embed_tokens.onnx +2 -2
  21. onnx/embed_tokens_bnb4.onnx +2 -2
  22. onnx/embed_tokens_fp16.onnx +2 -2
  23. onnx/embed_tokens_int8.onnx +2 -2
  24. onnx/embed_tokens_q4.onnx +2 -2
  25. onnx/embed_tokens_q4f16.onnx +2 -2
  26. onnx/embed_tokens_quantized.onnx +2 -2
  27. onnx/embed_tokens_uint8.onnx +2 -2
  28. onnx/vision_encoder.onnx +2 -2
  29. onnx/vision_encoder_bnb4.onnx +2 -2
  30. onnx/vision_encoder_fp16.onnx +2 -2
  31. onnx/vision_encoder_int8.onnx +2 -2
  32. onnx/vision_encoder_q4.onnx +2 -2
  33. onnx/vision_encoder_q4f16.onnx +2 -2
  34. onnx/vision_encoder_quantized.onnx +2 -2
  35. onnx/vision_encoder_uint8.onnx +2 -2
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handler.py CHANGED
@@ -8,22 +8,25 @@ import os
8
 
9
  class EndpointHandler:
10
  def __init__(self, path=""):
11
- # Récupérer le token depuis les secrets de l'endpoint (bonne pratique)
12
  token = os.getenv("HUGGING_FACE_HUB_TOKEN")
 
 
 
13
 
14
- # Déterminer le device (le endpoint aura un GPU)
15
  self.device = "cuda" if torch.cuda.is_available() else "cpu"
16
  self.dtype = torch.bfloat16 if self.device == "cuda" else torch.float32
17
 
18
- # Charger le processeur et le modèle
19
- # Le `path` est l'endroit où le endpoint stocke les fichiers du modèle
20
- self.processor = AutoProcessor.from_pretrained(path, token=token)
21
  self.model = AutoModelForImageTextToText.from_pretrained(
22
- path,
23
  torch_dtype=self.dtype,
24
  token=token
25
  ).to(self.device)
26
 
 
 
27
  print("✅ Modèle et processeur chargés avec succès sur le device:", self.device)
28
 
29
  def __call__(self, data: dict) -> dict:
 
8
 
9
  class EndpointHandler:
10
  def __init__(self, path=""):
11
+ # Le token est automatiquement disponible pour les endpoints privés/protégés
12
  token = os.getenv("HUGGING_FACE_HUB_TOKEN")
13
+ # On spécifie quel modèle charger via une variable d'environnement
14
+ # Si elle n'est pas définie, on prend une valeur par défaut
15
+ model_id = os.getenv("MODEL_ID", "HuggingFaceTB/SmolVLM2-256M-Video-Instruct")
16
 
 
17
  self.device = "cuda" if torch.cuda.is_available() else "cpu"
18
  self.dtype = torch.bfloat16 if self.device == "cuda" else torch.float32
19
 
20
+ # Charger le processeur et le modèle DEPUIS L'ID DU MODÈLE ORIGINAL
21
+ self.processor = AutoProcessor.from_pretrained(model_id, token=token)
 
22
  self.model = AutoModelForImageTextToText.from_pretrained(
23
+ model_id,
24
  torch_dtype=self.dtype,
25
  token=token
26
  ).to(self.device)
27
 
28
+ print(f"✅ Modèle {model_id} chargé avec succès sur {self.device}")
29
+
30
  print("✅ Modèle et processeur chargés avec succès sur le device:", self.device)
31
 
32
  def __call__(self, data: dict) -> dict:
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onnx/vision_encoder_uint8.onnx CHANGED
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