Instructions to use msb-roshan/ohsumed_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msb-roshan/ohsumed_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="msb-roshan/ohsumed_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("msb-roshan/ohsumed_output") model = AutoModelForSequenceClassification.from_pretrained("msb-roshan/ohsumed_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from msb-roshan/ohsumed_output: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/msb-roshan/ohsumed_output/resolve/main/training_args.bin
- Command line
-
hf download hf://msb-roshan/ohsumed_output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/msb-roshan/ohsumed_output/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- e0bbdb02f2ef79c90017a61aed467b38ad6a5bdbb043f745e3181fff8e98ef76
- Size of remote file:
- 3.96 kB
- SHA256:
- 5511c9f0f470d0f3b59f05442d9d48bbec88830c401c98042694428e66e34639
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