Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use fernandals/sentiment_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fernandals/sentiment_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fernandals/sentiment_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fernandals/sentiment_v1") model = AutoModelForSequenceClassification.from_pretrained("fernandals/sentiment_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from fernandals/sentiment_v1: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/fernandals/sentiment_v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://fernandals/sentiment_v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/fernandals/sentiment_v1/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- ee0e591802525863fb3dfd4e243c189758738359b50e64fe7e07b66ac595da41
- Size of remote file:
- 268 MB
- SHA256:
- dc1f1b57f56769f8e2739a135aec6c3453a522faa9ef681a3afc3d3a7dd66e54
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