Instructions to use aychang/bert-base-cased-trec-coarse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aychang/bert-base-cased-trec-coarse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aychang/bert-base-cased-trec-coarse")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aychang/bert-base-cased-trec-coarse") model = AutoModelForSequenceClassification.from_pretrained("aychang/bert-base-cased-trec-coarse") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot