Instructions to use Cameron/BERT-SBIC-targetcategory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cameron/BERT-SBIC-targetcategory with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cameron/BERT-SBIC-targetcategory")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cameron/BERT-SBIC-targetcategory") model = AutoModelForSequenceClassification.from_pretrained("Cameron/BERT-SBIC-targetcategory") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc26fe154a0db83966e2f080c77679d1f50ef64cfff8b35ff8dd352d7b7a8f45
- Size of remote file:
- 433 MB
- SHA256:
- 37ae6819c0642b8697ab639bd2221f6bc25706d203509e20888cf0adb3b23ad6
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