Text Classification
Transformers
Safetensors
PyTorch
English
roberta
question-answering
text-embeddings-inference
Instructions to use whitedevil0089devil/roberta_squad_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/roberta_squad_ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/roberta_squad_ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/roberta_squad_ft") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/roberta_squad_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0708ae6338c6d784bbf373cb8075b3eba0dfec941ed19ff04f9cb713122b4b7e
- Size of remote file:
- 997 MB
- SHA256:
- 971f2e38f789300e5aa83c41674faaef2d500c290368ace2d95af5e3e45de7b6
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