How to use NbAiLabArchive/test_w5_long_roberta_tokenizer_adafactor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test_w5_long_roberta_tokenizer_adafactor")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_w5_long_roberta_tokenizer_adafactor") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_w5_long_roberta_tokenizer_adafactor", device_map="auto")
https://huggingface.co/NbAiLabArchive/test_w5_long_roberta_tokenizer_adafactor/resolve/main/tokenizer.json
hf download hf://NbAiLabArchive/test_w5_long_roberta_tokenizer_adafactor/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/NbAiLabArchive/test_w5_long_roberta_tokenizer_adafactor/resolve/main/tokenizer.json
