Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use adity12345/Roberta_reddit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adity12345/Roberta_reddit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adity12345/Roberta_reddit")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adity12345/Roberta_reddit") model = AutoModelForSequenceClassification.from_pretrained("adity12345/Roberta_reddit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adity12345/Roberta_reddit: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/adity12345/Roberta_reddit/resolve/main/training_args.bin
- Command line
-
hf download hf://adity12345/Roberta_reddit/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adity12345/Roberta_reddit/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 2aaababda37b073a2936b66c492a0558206895fb474613b55acd34008e47b2a0
- Size of remote file:
- 5.78 kB
- SHA256:
- 964beefb6a7c6daad20fcb8b5fe8d92769c4ccdcce06ef331a72ee7d2f1866ad
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