Instructions to use pythonist/roberta-base-squad2-finetuned-squad-pythonist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pythonist/roberta-base-squad2-finetuned-squad-pythonist 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="pythonist/roberta-base-squad2-finetuned-squad-pythonist")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("pythonist/roberta-base-squad2-finetuned-squad-pythonist") model = AutoModelForQuestionAnswering.from_pretrained("pythonist/roberta-base-squad2-finetuned-squad-pythonist", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pythonist/roberta-base-squad2-finetuned-squad-pythonist: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/pythonist/roberta-base-squad2-finetuned-squad-pythonist/resolve/main/training_args.bin
- Command line
-
hf download hf://pythonist/roberta-base-squad2-finetuned-squad-pythonist/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pythonist/roberta-base-squad2-finetuned-squad-pythonist/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 779dca65f070fd88b07a7231e185aaecf990d4ed34bccb890f644cfe93725e8a
- Size of remote file:
- 3.44 kB
- SHA256:
- 89dd4e5d2236d9710160f807689bfc0139d3d82c132c8ed691876c65edef4815
路
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