Instructions to use Declan/Reuters_model_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Declan/Reuters_model_v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Declan/Reuters_model_v6")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Declan/Reuters_model_v6") model = AutoModelForMaskedLM.from_pretrained("Declan/Reuters_model_v6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Declan/Reuters_model_v6: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Declan/Reuters_model_v6/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Declan/Reuters_model_v6@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Declan/Reuters_model_v6/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- 2c16716466053463f4aa1d400edca1b34bfed29c76bc36ddb290806a318c93db
- Size of remote file:
- 438 MB
- SHA256:
- f3067e215c34fa2fc13589b7eee526a707812ab79a84255c43cd26007715d451
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