Instructions to use msgfrom96/emotion_model_improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msgfrom96/emotion_model_improved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="msgfrom96/emotion_model_improved")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("msgfrom96/emotion_model_improved") model = AutoModelForSequenceClassification.from_pretrained("msgfrom96/emotion_model_improved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
3473893 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1ae55f8ecd88415a39d7b74fca17290c63a0759c9b5d05886d602aeb261108c8
size 2239655572
|