Text Classification
Transformers
Safetensors
English
qwen3
text-generation
assay
calibrated
decision-model
zero-shot-classification
text-embeddings-inference
Instructions to use Berk/assay-1.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Berk/assay-1.7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Berk/assay-1.7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Berk/assay-1.7b") model = AutoModelForCausalLM.from_pretrained("Berk/assay-1.7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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