How to use Chega/distill-scibert_scivocab_uncased with Transformers:
# 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")
https://huggingface.co/Chega/distill-scibert_scivocab_uncased/resolve/main/README.md
hf download hf://Chega/distill-scibert_scivocab_uncased/README.md
curl -L -o README.md https://huggingface.co/Chega/distill-scibert_scivocab_uncased/resolve/main/README.md
license: apache-2.0 datasets: - arxiv_dataset - pubmed language: - en pipeline_tag: fill-mask tags: - biology
