Instructions to use ronaldahmed/ccl_win-govreport with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronaldahmed/ccl_win-govreport with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ronaldahmed/ccl_win-govreport")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ronaldahmed/ccl_win-govreport") model = AutoModelForSequenceClassification.from_pretrained("ronaldahmed/ccl_win-govreport", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ronaldahmed/ccl_win-govreport: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/ronaldahmed/ccl_win-govreport/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ronaldahmed/ccl_win-govreport/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ronaldahmed/ccl_win-govreport/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- ef3ca880dab293b939b96fd4db13b56291a6bf51160517d6cb8ba0982d1b348c
- Size of remote file:
- 1.42 GB
- SHA256:
- 06965606ece922ad7cdf00f007611efaab5d8c38a2ae6f9d7b11976149cb0baf
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