Instructions to use bangskitchen/EUEA_InternVL2_5-8B_LangR_SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bangskitchen/EUEA_InternVL2_5-8B_LangR_SFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bangskitchen/EUEA_InternVL2_5-8B_LangR_SFT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bangskitchen/EUEA_InternVL2_5-8B_LangR_SFT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9d9d114348effb2374878aba873e94f117c24d72cf9fa3a23660a874286ed78
- Size of remote file:
- 4.94 GB
- SHA256:
- b85c2b417896ec1d732dc20094163c9d1215fa23aa0eb081d4584daf42e1a827
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