Instructions to use JAlexis/PruebaBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JAlexis/PruebaBert 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="JAlexis/PruebaBert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("JAlexis/PruebaBert") model = AutoModelForQuestionAnswering.from_pretrained("JAlexis/PruebaBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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```
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batch_size = 8
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n_epochs = 9
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learning_rate = AdamW: 1e-5
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```
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```
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batch_size = 8
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n_epochs = 9
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max_query_length=512
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learning_rate = AdamW: 1e-5
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```
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