Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use achimoraites/roberta-base_ag_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use achimoraites/roberta-base_ag_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="achimoraites/roberta-base_ag_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("achimoraites/roberta-base_ag_news") model = AutoModelForSequenceClassification.from_pretrained("achimoraites/roberta-base_ag_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from achimoraites/roberta-base_ag_news: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/achimoraites/roberta-base_ag_news/resolve/main/training_args.bin
- Command line
-
hf download hf://achimoraites/roberta-base_ag_news/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/achimoraites/roberta-base_ag_news/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 7628b37b83dac9d8f5101f1140ee497ffea26fed6b23e062ffbbfb5c8a9b7092
- Size of remote file:
- 3.64 kB
- SHA256:
- 4f24e4137e57926a19cccd0f4f7345a51c09a9685932845ce94d858c36cbfb0e
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