Instructions to use minhdang14902/Roberta_edu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhdang14902/Roberta_edu 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="minhdang14902/Roberta_edu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("minhdang14902/Roberta_edu") model = AutoModelForQuestionAnswering.from_pretrained("minhdang14902/Roberta_edu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from minhdang14902/Roberta_edu: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/minhdang14902/Roberta_edu/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://minhdang14902/Roberta_edu/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/minhdang14902/Roberta_edu/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- 68280ce25b7d23be227db87beca6482efdde430266ba60c130a910866417c470
- Size of remote file:
- 1.11 GB
- SHA256:
- 8849f741e5952148f61fce81826a798edadee0c216fd582c44b8a9192122ed88
路
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