Instructions to use Freakid/sentiment-analysis-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Freakid/sentiment-analysis-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Freakid/sentiment-analysis-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Freakid/sentiment-analysis-model") model = AutoModelForSequenceClassification.from_pretrained("Freakid/sentiment-analysis-model") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
fc61016 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:bd91aea5254acd7b2e0f3596593b6f2396a31970a5ede84d1b19bd94a522b9b5
size 5304
|