Instructions to use ryanyip7777/intent_bert_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryanyip7777/intent_bert_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ryanyip7777/intent_bert_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ryanyip7777/intent_bert_classifier") model = AutoModelForSequenceClassification.from_pretrained("ryanyip7777/intent_bert_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ryanyip7777/intent_bert_classifier: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/ryanyip7777/intent_bert_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ryanyip7777/intent_bert_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ryanyip7777/intent_bert_classifier/resolve/main/pytorch_model.bin
409 MB
- Xet hash:
- f93dbfc4b12356a7a1646977de6a45c333011ff71ac3a1d47499cc9cfe052c69
- Size of remote file:
- 409 MB
- SHA256:
- fd1cc1311fd3bbd47dd7fe855c4733a26d1e8579946b203b3f07dea1e24132df
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