Instructions to use crodri/roberta-base-ca-v2-qa-catalanqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crodri/roberta-base-ca-v2-qa-catalanqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="crodri/roberta-base-ca-v2-qa-catalanqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("crodri/roberta-base-ca-v2-qa-catalanqa") model = AutoModelForQuestionAnswering.from_pretrained("crodri/roberta-base-ca-v2-qa-catalanqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from crodri/roberta-base-ca-v2-qa-catalanqa: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/crodri/roberta-base-ca-v2-qa-catalanqa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://crodri/roberta-base-ca-v2-qa-catalanqa/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/crodri/roberta-base-ca-v2-qa-catalanqa/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 3a15fa9d3681e5173b2ec64c56f2d9dac993707685f42ee6b77ffb1b348523e3
- Size of remote file:
- 496 MB
- SHA256:
- 6fa65b6bbf442f1d37f4244830fd4a6e39d71632e36809763cede80960cf11b3
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