Instructions to use Tamnemtf/roberta-finetuned-subjqa-movies_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tamnemtf/roberta-finetuned-subjqa-movies_2 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="Tamnemtf/roberta-finetuned-subjqa-movies_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Tamnemtf/roberta-finetuned-subjqa-movies_2") model = AutoModelForQuestionAnswering.from_pretrained("Tamnemtf/roberta-finetuned-subjqa-movies_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Tamnemtf/roberta-finetuned-subjqa-movies_2: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Tamnemtf/roberta-finetuned-subjqa-movies_2/resolve/main/training_args.bin
- Command line
-
hf download hf://Tamnemtf/roberta-finetuned-subjqa-movies_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tamnemtf/roberta-finetuned-subjqa-movies_2/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 1c899fe55686e60f9a2087f9a79289d0a38b9b6b9db736830bfb4d6028faefae
- Size of remote file:
- 4.6 kB
- SHA256:
- fdd2ad09376df56038ac042464e5071dbca5a51bed118cc17db1ecde07d97c1c
路
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