Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Yuvrajg2107/roberta-base-cpp-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuvrajg2107/roberta-base-cpp-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yuvrajg2107/roberta-base-cpp-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yuvrajg2107/roberta-base-cpp-final") model = AutoModelForSequenceClassification.from_pretrained("Yuvrajg2107/roberta-base-cpp-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-16000/optimizer.pt from Yuvrajg2107/roberta-base-cpp-final: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/Yuvrajg2107/roberta-base-cpp-final/resolve/main/checkpoint-16000/optimizer.pt
- Command line
-
hf download hf://Yuvrajg2107/roberta-base-cpp-final/checkpoint-16000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Yuvrajg2107/roberta-base-cpp-final/resolve/main/checkpoint-16000/optimizer.pt
997 MB
- Xet hash:
- 10a6c4fac7105692c36b88c5bb5cd0e96ea94743e105167f112b8fbe38388dca
- Size of remote file:
- 997 MB
- SHA256:
- 529961f9c3d396e3bfd95d8632f4c919c1c8d7d7aebb25605e81bf65fca66018
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