Text Classification
Transformers
PyTorch
sentiment-head
feature-extraction
sentiment-analysis
openai-embeddings
custom_code
Instructions to use marcovise/TextEmbedding3SmallSentimentHead with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcovise/TextEmbedding3SmallSentimentHead with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcovise/TextEmbedding3SmallSentimentHead", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("marcovise/TextEmbedding3SmallSentimentHead", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
133bd99 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:570981fec53d08863b7c136f8d4c4023375634112c37f006b9cffbe3ed903bd3
size 1579609
|