How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="atrytone/scibert_uncased_claim_id")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("atrytone/scibert_uncased_claim_id")
model = AutoModelForSequenceClassification.from_pretrained("atrytone/scibert_uncased_claim_id", device_map="auto")
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Fine-tuned SciBERT uncased model allenai/scibert_scivocab_uncased for claim detection from abstracts.

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Model size
0.1B params
Tensor type
I64
·
F32
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