Instructions to use ekolasky/CustomLEDForQAonNQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekolasky/CustomLEDForQAonNQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ekolasky/CustomLEDForQAonNQ", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ekolasky/CustomLEDForQAonNQ", trust_remote_code=True) model = AutoModel.from_pretrained("ekolasky/CustomLEDForQAonNQ", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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{
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"_name_or_path": "ekolasky/CustomLEDForQAonNQ",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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