Instructions to use Bochkov/bvv241-2-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bochkov/bvv241-2-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Bochkov/bvv241-2-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bochkov/bvv241-2-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Bochkov/bvv241-2-3: direct link, hf CLI and curl.
- Browser
- Download file 1.87 MB
-
https://huggingface.co/Bochkov/bvv241-2-3/resolve/main/tokenizer.json
- Command line
-
hf download hf://Bochkov/bvv241-2-3/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Bochkov/bvv241-2-3/resolve/main/tokenizer.json
1.87 MB
File too large to display, you can check the raw version instead.