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 training_args.bin from guess-winnow/autotrain-j9jny-iiqet: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/guess-winnow/autotrain-j9jny-iiqet/resolve/main/training_args.bin
- Command line
-
hf download hf://guess-winnow/autotrain-j9jny-iiqet/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/guess-winnow/autotrain-j9jny-iiqet/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 6198296e2d82a123c3aafa36776f8881d1ad07d6c3e5970b78872ca03a8c1b47
- Size of remote file:
- 5.37 kB
- SHA256:
- 44a8796e12d3b658f37bd30d63b29f89d9d13f55d565ef6828da96393558e018
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