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 pytorch_model.bin from roscazo/nubes_test: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/roscazo/nubes_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://roscazo/nubes_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/roscazo/nubes_test/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 9f43870793c16d79ae761d4c05b930a25fbf31c26b9659fdaaa4284ddf7ceb0c
- Size of remote file:
- 496 MB
- SHA256:
- 98b0160e50c31032a7819c290ab5e96cb8c39bb04438c30add048797801959a1
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