Instructions to use Ancient-Anub1s/HPV_bertweets_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ancient-Anub1s/HPV_bertweets_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ancient-Anub1s/HPV_bertweets_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ancient-Anub1s/HPV_bertweets_model") model = AutoModelForSequenceClassification.from_pretrained("Ancient-Anub1s/HPV_bertweets_model") - Notebooks
- Google Colab
- Kaggle
HPV-Bertweet-model
-Fine-tuned using tweets about the HPV vaccine
-Idenifies whether the comment is positive, negative, or neutral
Base Model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis
- Downloads last month
- 3