Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use guess-winnow/autotrain-j9jny-iiqet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guess-winnow/autotrain-j9jny-iiqet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="guess-winnow/autotrain-j9jny-iiqet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("guess-winnow/autotrain-j9jny-iiqet") model = AutoModelForSequenceClassification.from_pretrained("guess-winnow/autotrain-j9jny-iiqet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from guess-winnow/autotrain-j9jny-iiqet: direct link, hf CLI and curl.
- Browser
- Download file 3.67 MB
-
https://huggingface.co/guess-winnow/autotrain-j9jny-iiqet/resolve/main/tokenizer.json
- Command line
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hf download hf://guess-winnow/autotrain-j9jny-iiqet/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/guess-winnow/autotrain-j9jny-iiqet/resolve/main/tokenizer.json
3.67 MB
File too large to display, you can check the raw version instead.