Instructions to use clarin-knext/herbert-large-poquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clarin-knext/herbert-large-poquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="clarin-knext/herbert-large-poquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("clarin-knext/herbert-large-poquad") model = AutoModelForQuestionAnswering.from_pretrained("clarin-knext/herbert-large-poquad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aecae914b79287032ff738f397a9a9aaeafe495893b14a4e815b2a2f12c2e001
- Size of remote file:
- 1.42 GB
- SHA256:
- 9e43b3cfa55eb6c7869441aee30f73e8ae3c9ce28fdf451465ee774580b7033e
路
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