Instructions to use nmcco/29-classic-again-save-this-1e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmcco/29-classic-again-save-this-1e4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nmcco/29-classic-again-save-this-1e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nmcco/29-classic-again-save-this-1e4: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/nmcco/29-classic-again-save-this-1e4/resolve/main/tokenizer.json
- Command line
-
hf download hf://nmcco/29-classic-again-save-this-1e4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nmcco/29-classic-again-save-this-1e4/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 345adddb21864f5bcb93dfdce8f6f1b8285d692041480d05349967605a15dfba
- Size of remote file:
- 34.4 MB
- SHA256:
- 1f89f85864638dc38e2bcd7eeb64436dba5e8070d44feb97cac46666924148b2
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