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

pipe = pipeline("fill-mask", model="Chega/distill-scibert_scivocab_uncased")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForPreTraining

tokenizer = AutoTokenizer.from_pretrained("Chega/distill-scibert_scivocab_uncased")
model = AutoModelForPreTraining.from_pretrained("Chega/distill-scibert_scivocab_uncased", device_map="auto")
Quick Links
README.md exists but content is empty.
Downloads last month
23
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Datasets used to train Chega/distill-scibert_scivocab_uncased