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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from whitedevil0089devil/roberta_squad_ft: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/whitedevil0089devil/roberta_squad_ft/resolve/main/model.safetensors
- Command line
-
hf download hf://whitedevil0089devil/roberta_squad_ft/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/whitedevil0089devil/roberta_squad_ft/resolve/main/model.safetensors
499 MB
- Xet hash:
- 66fb4b4dd474bd5e8dcbaff153e7b2fbe483ba5986f9383ca40bb99d1d23b72d
- Size of remote file:
- 499 MB
- SHA256:
- 8a87ba07200a8b0337c5238e138e86a3b5bcc5998281c7a32a35efeb30ee10de
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