Instructions to use AdrianBZG/tinyroberta-squad-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdrianBZG/tinyroberta-squad-es 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="AdrianBZG/tinyroberta-squad-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AdrianBZG/tinyroberta-squad-es") model = AutoModelForQuestionAnswering.from_pretrained("AdrianBZG/tinyroberta-squad-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AdrianBZG/tinyroberta-squad-es: direct link, hf CLI and curl.
- Browser
- Download file 205 MB
-
https://huggingface.co/AdrianBZG/tinyroberta-squad-es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AdrianBZG/tinyroberta-squad-es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AdrianBZG/tinyroberta-squad-es/resolve/main/pytorch_model.bin
205 MB
- Xet hash:
- b41c5fa7789efc28450aaf0d18bbf011ed91773c1ae24d9dc7c7aff9a45cf617
- Size of remote file:
- 205 MB
- SHA256:
- 81c93cf512bec523b704c7b78a13134cab41bbcf60dd332a07d3e59bcc8ecfc9
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