Instructions to use Evelyn18/roberta-base-bne-ROBERTaBECAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evelyn18/roberta-base-bne-ROBERTaBECAS 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="Evelyn18/roberta-base-bne-ROBERTaBECAS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Evelyn18/roberta-base-bne-ROBERTaBECAS") model = AutoModelForQuestionAnswering.from_pretrained("Evelyn18/roberta-base-bne-ROBERTaBECAS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Evelyn18/roberta-base-bne-ROBERTaBECAS: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/Evelyn18/roberta-base-bne-ROBERTaBECAS/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Evelyn18/roberta-base-bne-ROBERTaBECAS/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Evelyn18/roberta-base-bne-ROBERTaBECAS/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 9b3c03b53cf4fa3132151fe92c78a994c3721da10ec8272f73f2ffd41a90c3f7
- Size of remote file:
- 496 MB
- SHA256:
- c80b3494eca5056d8e91b8e45c8952506245de0e025536865c3d87d93a2845d6
路
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