Instructions to use marcsixtysix/InternVL3-2B-docs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcsixtysix/InternVL3-2B-docs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="marcsixtysix/InternVL3-2B-docs", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("marcsixtysix/InternVL3-2B-docs", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dd9a025ab4c4a1a312ac4ea23ff711a0b9aa06af3c945dbd9c93e6535a58b1f
- Size of remote file:
- 11.4 MB
- SHA256:
- 6f9ba4b4a6625b5047a1356f6081b641c3e4e6a4a198facbd4bef217747d1685
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