Question Answering
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use sooolee/roberta-base-finetuned-squad-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sooolee/roberta-base-finetuned-squad-v1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="sooolee/roberta-base-finetuned-squad-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sooolee/roberta-base-finetuned-squad-v1") model = AutoModelForQuestionAnswering.from_pretrained("sooolee/roberta-base-finetuned-squad-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sooolee/roberta-base-finetuned-squad-v1: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/sooolee/roberta-base-finetuned-squad-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sooolee/roberta-base-finetuned-squad-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sooolee/roberta-base-finetuned-squad-v1/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 0d431c1ce631204dbcc629f56343ba65bc1d61e95117abccd94f44670c760b82
- Size of remote file:
- 496 MB
- SHA256:
- cccfa5c9b42e28507de42c06417ddc112b377c7907484a101f443eca6a5784c9
路
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