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:
- 2582fc128d424233362eb374da64f8e4d6ae9feaefbf91098f58dcb37d4da306
- Size of remote file:
- 4.92 GB
- SHA256:
- 27c4cd068dfca17021f1a12f0f5db6a4a25e038a703dc6cbb683dc37f55c13b0
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