Instructions to use devkushal75/medtextclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkushal75/medtextclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devkushal75/medtextclassifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devkushal75/medtextclassifier") model = AutoModelForSequenceClassification.from_pretrained("devkushal75/medtextclassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from devkushal75/medtextclassifier: direct link, hf CLI and curl.
- Browser
- Download file 2.29 kB
-
https://huggingface.co/devkushal75/medtextclassifier/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://devkushal75/medtextclassifier@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/devkushal75/medtextclassifier/resolve/refs%2Fpr%2F1/training_args.bin
2.29 kB
- Xet hash:
- 17162247a0af18cf8e544b2bede2415d83f53a8a58880c944a38e94aad714d65
- Size of remote file:
- 2.29 kB
- SHA256:
- d16d29481fd4c6c19b72f54d179c0acbeaa42f53f9fd44fded2dd0790fb9a47b
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