Instructions to use HealthNLP/pubmedbert_conmod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HealthNLP/pubmedbert_conmod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HealthNLP/pubmedbert_conmod")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HealthNLP/pubmedbert_conmod") model = AutoModelForSequenceClassification.from_pretrained("HealthNLP/pubmedbert_conmod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HealthNLP/pubmedbert_conmod: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/HealthNLP/pubmedbert_conmod/resolve/main/training_args.bin
- Command line
-
hf download hf://HealthNLP/pubmedbert_conmod/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HealthNLP/pubmedbert_conmod/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 915251e5885e464dcb090ac7eb54b4e5ee0c279d6a218a50510c27049b55a1dc
- Size of remote file:
- 4.66 kB
- SHA256:
- 7d1aab45051285d4d86e8ffbcab852ca26f8e59e13b6b06c115c64cb15b0664a
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