Instructions to use aicryptogroup/videberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aicryptogroup/videberta-v3-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aicryptogroup/videberta-v3-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aicryptogroup/videberta-v3-base") model = AutoModel.from_pretrained("aicryptogroup/videberta-v3-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aicryptogroup/videberta-v3-base: direct link, hf CLI and curl.
- Browser
- Download file 462 MB
-
https://huggingface.co/aicryptogroup/videberta-v3-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aicryptogroup/videberta-v3-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aicryptogroup/videberta-v3-base/resolve/main/pytorch_model.bin
462 MB
- Xet hash:
- dbe715db8423e826cd7b4e400952e4d9c6bde7e3a70eacaa257e60b72cf5b983
- Size of remote file:
- 462 MB
- SHA256:
- b43597c49df7afbcd452cb9a7b8a6e6b6a1262e7cafcc49adbaa6b7511d76159
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