How to use loris3/stratified_equitoken_10m_curriculum_roberta_source_difficulty with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="loris3/stratified_equitoken_10m_curriculum_roberta_source_difficulty")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("loris3/stratified_equitoken_10m_curriculum_roberta_source_difficulty") model = AutoModelForMaskedLM.from_pretrained("loris3/stratified_equitoken_10m_curriculum_roberta_source_difficulty", device_map="auto")
https://huggingface.co/loris3/stratified_equitoken_10m_curriculum_roberta_source_difficulty/resolve/main/tokenizer.json
hf download hf://loris3/stratified_equitoken_10m_curriculum_roberta_source_difficulty/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/loris3/stratified_equitoken_10m_curriculum_roberta_source_difficulty/resolve/main/tokenizer.json
