Instructions to use roscazo/nubes_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/nubes_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/nubes_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/nubes_test") model = AutoModelForTokenClassification.from_pretrained("roscazo/nubes_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roscazo/nubes_test: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/roscazo/nubes_test/resolve/main/training_args.bin
- Command line
-
hf download hf://roscazo/nubes_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roscazo/nubes_test/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 5f95fac5e1d1526edfda2e15f9e52d7ca484f62bd88c2a7393c2b1fa7c81ee46
- Size of remote file:
- 3.45 kB
- SHA256:
- d074d70d19509828ad37172ac53d2177ff9aa5dd7b6c50c3ccbd054f0cdaa1f5
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