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:
- 0ee5b441e3cab710cb4c040a1b2788e230cc1f8b206514a4e5cebada213fc1cb
- Size of remote file:
- 1.38 GB
- SHA256:
- ba0d68da47637e265e065b34b5ee75078e3d076e8b4fbd9ec5a9fab52e1457f8
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