Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Yuvrajg2107/roberta-base-cpp1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuvrajg2107/roberta-base-cpp1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yuvrajg2107/roberta-base-cpp1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yuvrajg2107/roberta-base-cpp1") model = AutoModelForSequenceClassification.from_pretrained("Yuvrajg2107/roberta-base-cpp1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from Yuvrajg2107/roberta-base-cpp1: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/Yuvrajg2107/roberta-base-cpp1/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Yuvrajg2107/roberta-base-cpp1/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Yuvrajg2107/roberta-base-cpp1/resolve/main/last-checkpoint/optimizer.pt
997 MB
- Xet hash:
- d3c2adfe8c6fc58176e4ffaa0837c3f425aab40e27209335fcf54ac9314d7494
- Size of remote file:
- 997 MB
- SHA256:
- 6a3eba2787f787ff71a4d66f9dac89222b1befcd50b4672cfd05ee43b86019bb
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