Text Classification
Transformers
Safetensors
Laya
English
modernbert
fill-mask
system-one
calibrated-decisions
rlcd
typed-decisions
classification
agent-observability
invoice-processing
security-incidents
customer-service
commercial-use
text-embeddings-inference
Instructions to use michaelfeil/laya-typed-decisions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/laya-typed-decisions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michaelfeil/laya-typed-decisions")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("michaelfeil/laya-typed-decisions") model = AutoModelForMaskedLM.from_pretrained("michaelfeil/laya-typed-decisions", device_map="auto") - Laya
How to use michaelfeil/laya-typed-decisions with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
20 days ago
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Rename tokenizer_config (6).json to tokenizer_config.json
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Rename tokenizer (4).json to tokenizer.json
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Upload 2 files
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Upload config.json
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21 days ago
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Mirror Laya typed decisions from convaiinnovations at 1a793eb568e6718f15941d08f85432581df534e3
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initial commit
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