Text Classification
Transformers
Safetensors
qwen3
bvg
bonvoyage
pairwise-ranking
text-embeddings-inference
Instructions to use graf/science_4b_mix_bt_8b_solid-bt-a577c3ef-1-104-on with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use graf/science_4b_mix_bt_8b_solid-bt-a577c3ef-1-104-on with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="graf/science_4b_mix_bt_8b_solid-bt-a577c3ef-1-104-on")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("graf/science_4b_mix_bt_8b_solid-bt-a577c3ef-1-104-on") model = AutoModelForSequenceClassification.from_pretrained("graf/science_4b_mix_bt_8b_solid-bt-a577c3ef-1-104-on", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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