Instructions to use knkarthick/Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knkarthick/Sentiment-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="knkarthick/Sentiment-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knkarthick/Sentiment-Analysis") model = AutoModelForSequenceClassification.from_pretrained("knkarthick/Sentiment-Analysis") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
75cd6fe | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4d24a3e32a88ed1c4e5b789fc6644e2e767500554e954b27dccf52a8e762cbae
size 501045531
|