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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/good_sentiment_model3") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/good_sentiment_model3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e08bdf02682d5e775e345c65fc87afea2eac553b76670ed59846b92b9434d17
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size 267847948
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