Instructions to use Matthijs0/DistilBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs0/DistilBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Matthijs0/DistilBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Matthijs0/DistilBERT") model = AutoModelForQuestionAnswering.from_pretrained("Matthijs0/DistilBERT") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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n_epochs = 3
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max_seq_len = 512
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learning_rate = 2e-5
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optimizer=
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weight_decay=0.01
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embeds_dropout_prob = 0.1
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```
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n_epochs = 3
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max_seq_len = 512
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learning_rate = 2e-5
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optimizer=AdamW
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lr_schedule = LinearWarmup
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weight_decay=0.01
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embeds_dropout_prob = 0.1
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```
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