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:
- f56b8452fe050079d5c0a022ee1c1411d1e67e4ac9d53610e22f979287e556a8
- Size of remote file:
- 4.92 GB
- SHA256:
- ba75fe77e309be261c3be444b116017416fad88468db524662dbc9efcaa778e9
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