graf/qwen_4b_science_mix_train
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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")Qwen3-8B sequence-scoring checkpoint trained in BonVoyage with a BT pairwise objective.
Qwen/Qwen3-8Bgraf/qwen_4b_science_mix_traingraf/qwen_4b_science_sciknowsci_val1e-5num_labels=1)pad_token_id=151643Experiment: science_4b_mix_bt_8b_solid-bt-a577c3ef-1-104-on.