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 pytorch_model.bin from cynthiachan/procedure_classification_bert: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/cynthiachan/procedure_classification_bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cynthiachan/procedure_classification_bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cynthiachan/procedure_classification_bert/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- ceeefd71655c7df0f47f7bbc15f5062dec25476f8f994b4914c1c3d047957240
- Size of remote file:
- 439 MB
- SHA256:
- 073cc80af58e960632cc3e1728dcbba73be72ac62d662332df620f1d616b6e86
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