Instructions to use Bochkov/bvv241-nemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bochkov/bvv241-nemo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Bochkov/bvv241-nemo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bochkov/bvv241-nemo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Bochkov/bvv241-nemo: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Bochkov/bvv241-nemo/resolve/main/tokenizer.json
- Command line
-
hf download hf://Bochkov/bvv241-nemo/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Bochkov/bvv241-nemo/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 183feaf3854ea652c1087520f20fdc39282f652edf10541e6904a3d3f975425e
- Size of remote file:
- 17.1 MB
- SHA256:
- b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
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