# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("LoudlySoft/scibert_scivocab_uncased_squad")
model = AutoModelForQuestionAnswering.from_pretrained("LoudlySoft/scibert_scivocab_uncased_squad")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
AllenAI's scibert_scivocab_uncased fine-tuned on SQuAD 2.0 evaluated with F1 = 86.85
To load the model:
from transformers import BertTokenizerFast
from transformers import BertForQuestionAnswering
tokenizer = BertTokenizerFast.from_pretrained("LoudlySoft/scibert_scivocab_uncased_squad")
model = BertForQuestionAnswering.from_pretrained("LoudlySoft/scibert_scivocab_uncased_squad")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="LoudlySoft/scibert_scivocab_uncased_squad")