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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yuvrajg2107/roberta-base-cpp1") model = AutoModelForSequenceClassification.from_pretrained("Yuvrajg2107/roberta-base-cpp1") - Notebooks
- Google Colab
- Kaggle
Copying last-checkpoint/rng_state.pth from Yuvrajg2107/roberta-base-cpp
Browse files
last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba7e7aeb52209ad5d8132c35dc5dea4045b9348ce56da3f145b30c0fd7a0758b
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size 14645
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