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 scheduler.pt from devkushal75/medtextclassifier: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/devkushal75/medtextclassifier/resolve/main/scheduler.pt
- Command line
-
hf download hf://devkushal75/medtextclassifier/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/devkushal75/medtextclassifier/resolve/main/scheduler.pt
623 Bytes
- Xet hash:
- ed2defdeab4962bb56db334aba722488549c63b9ea4139ff834d8285f1e6562b
- Size of remote file:
- 623 Bytes
- SHA256:
- 34d3600b4eb50e9f1d52cd4a6ff60fa4ab523d432a905dd0d8e74b4c63412003
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