Text Classification
Transformers
Safetensors
English
Chinese
modernbert
reranker
cross-encoder
agent
decision-making
zero-shot-classification
fast-decider
text-embeddings-inference
Instructions to use mkzero/FastDecider-149M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mkzero/FastDecider-149M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mkzero/FastDecider-149M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mkzero/FastDecider-149M") model = AutoModelForSequenceClassification.from_pretrained("mkzero/FastDecider-149M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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docs: sync README with official GitHub repo https://github.com/mkeco/fast-decider-149m
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internal: sync bundle
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Add full high-resolution coffee sponsor image
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Release v1.3.0: FastDecider-149M weights, tokenizer, and model card
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initial commit
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