Zero-Shot Classification
Transformers
Safetensors
English
qwen3
text-generation
assay
decision-model
calibrated
conformal-prediction
text-classification
structured-output
text-generation-inference
Instructions to use Berk/assay-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Berk/assay-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Berk/assay-0.6b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Berk/assay-0.6b") model = AutoModelForCausalLM.from_pretrained("Berk/assay-0.6b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
write rope_theta so transformers 4 reads the right RoPE base
Browse files- config.json +3 -2
config.json
CHANGED
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@@ -59,5 +59,6 @@
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"transformers_version": "5.17.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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"transformers_version": "5.17.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936,
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"rope_theta": 1000000
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}
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