Feature Extraction
Transformers
Safetensors
English
distilbert
question-answering
extractive-qa
squad
fine-tuned
text-embeddings-inference
Instructions to use harpertoken/clue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harpertoken/clue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="harpertoken/clue")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("harpertoken/clue") model = AutoModelForQuestionAnswering.from_pretrained("harpertoken/clue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +0 -1
config.json
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.57.6",
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"vocab_size": 30522
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}
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"transformers_version": "4.57.6",
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"vocab_size": 30522
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}
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