Instructions to use TheJournal/good_sentiment_model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheJournal/good_sentiment_model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheJournal/good_sentiment_model3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/good_sentiment_model3") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/good_sentiment_model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
bd57ae2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:97fa6866fb8c43a233ab547dcd58025f07d6c3a0455a83af0c0f08840da5bcbd
size 267870893
|