Instructions to use nikhilteja30/pubmedqa-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikhilteja30/pubmedqa-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikhilteja30/pubmedqa-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikhilteja30/pubmedqa-bert") model = AutoModelForSequenceClassification.from_pretrained("nikhilteja30/pubmedqa-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
33ffa22 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ae15a9d1a19ae1639e893f5633a83e71afee555cc45eaf06e6a2b65f9a6653e9
size 5265
|