Text Classification
Transformers
PyTorch
Safetensors
Enawené-Nawé
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use AyoubChLin/DistilRoberta-bbc_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/DistilRoberta-bbc_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/DistilRoberta-bbc_news")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/DistilRoberta-bbc_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/DistilRoberta-bbc_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AyoubChLin/DistilRoberta-bbc_news: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/AyoubChLin/DistilRoberta-bbc_news/resolve/main/tokenizer.json
- Command line
-
hf download hf://AyoubChLin/DistilRoberta-bbc_news/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AyoubChLin/DistilRoberta-bbc_news/resolve/main/tokenizer.json
2.11 MB
- Xet hash:
- 9d465f6b21ca8ff57b7a3fda94f22743da224e3f4c33d915ca49be9928efde29
- Size of remote file:
- 2.11 MB
- SHA256:
- 2c2ecf365d372bb35a4fbab56555327876893a76958a3e5956a3fe54518f06f3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.