Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use manjinder/sentiment_test_model_22Feb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manjinder/sentiment_test_model_22Feb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manjinder/sentiment_test_model_22Feb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manjinder/sentiment_test_model_22Feb") model = AutoModelForSequenceClassification.from_pretrained("manjinder/sentiment_test_model_22Feb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from manjinder/sentiment_test_model_22Feb: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/manjinder/sentiment_test_model_22Feb/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://manjinder/sentiment_test_model_22Feb@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/manjinder/sentiment_test_model_22Feb/resolve/refs%2Fpr%2F1/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.