Instructions to use cynthiachan/procedure_classification_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cynthiachan/procedure_classification_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cynthiachan/procedure_classification_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cynthiachan/procedure_classification_bert") model = AutoModelForSequenceClassification.from_pretrained("cynthiachan/procedure_classification_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cynthiachan/procedure_classification_bert: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/cynthiachan/procedure_classification_bert/resolve/main/training_args.bin
- Command line
-
hf download hf://cynthiachan/procedure_classification_bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cynthiachan/procedure_classification_bert/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 60f143ba9c2e2a0c45de722220db3ea46ff8c2ad983eb4f5a2ee7405e125af01
- Size of remote file:
- 3.06 kB
- SHA256:
- 0b8830407ac07ed47822f63758c41345d6fd7ba3247f20f70fc69366f79d6678
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