Instructions to use rithwik-db/sentiment_version_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rithwik-db/sentiment_version_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rithwik-db/sentiment_version_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/sentiment_version_4") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/sentiment_version_4") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
199522d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:372379096b322ebaaf3760f4d73d57b143fd9f88d19ea8311073fbb515e5240a
size 267855533
|