Instructions to use cyr19/distilbert-base-uncased_2-epochs-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyr19/distilbert-base-uncased_2-epochs-squad 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="cyr19/distilbert-base-uncased_2-epochs-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("cyr19/distilbert-base-uncased_2-epochs-squad") model = AutoModelForQuestionAnswering.from_pretrained("cyr19/distilbert-base-uncased_2-epochs-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
learning_rate:
- 1e-5
train_batchsize:
- 16
epochs:
- 2
weight_decay
- 0.01
optimizer
- Adam
datasets:
- squad
metrics
- EM:10.307414104882
- F1:42.10389032370503
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