Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use xshubhamx/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/roberta-base") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-2572/model.safetensors +1 -1
- training_checkpoints/checkpoint-2572/optimizer.pt +1 -1
- training_checkpoints/checkpoint-2572/rng_state.pth +1 -1
- training_checkpoints/checkpoint-2572/scheduler.pt +1 -1
- training_checkpoints/checkpoint-2572/trainer_state.json +86 -86
- training_checkpoints/checkpoint-2572/training_args.bin +1 -1
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