Token Classification
Transformers
Safetensors
English
modernbert
token classification
hallucination detection
Instructions to use KRLabsOrg/lettucedect-large-modernbert-en-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRLabsOrg/lettucedect-large-modernbert-en-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KRLabsOrg/lettucedect-large-modernbert-en-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KRLabsOrg/lettucedect-large-modernbert-en-v1") model = AutoModelForTokenClassification.from_pretrained("KRLabsOrg/lettucedect-large-modernbert-en-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
Remove 'reference_compile' from config.json (#2)
Browse files- Remove 'reference_compile' from config.json (ff95f6476873183711988ebcf3f308e85372f239)
Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>
- config.json +0 -1
config.json
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@@ -36,7 +36,6 @@
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"num_hidden_layers": 28,
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"pad_token_id": 50283,
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"position_embedding_type": "absolute",
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"reference_compile": true,
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"repad_logits_with_grad": false,
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"sep_token_id": 50282,
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"sparse_pred_ignore_index": -100,
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"num_hidden_layers": 28,
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"pad_token_id": 50283,
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"position_embedding_type": "absolute",
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"repad_logits_with_grad": false,
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"sep_token_id": 50282,
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"sparse_pred_ignore_index": -100,
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