Instructions to use TheJournal/good_sentiment_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheJournal/good_sentiment_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheJournal/good_sentiment_model2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/good_sentiment_model2") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/good_sentiment_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
9b2703d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:049e374875fa5032f5f1be3d2524ef3aab24bbb99664203dea85bd4048197615
size 267870893
|