How to use NbAiLabArchive/test_w5_long_dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test_w5_long_dataset")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_w5_long_dataset") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_w5_long_dataset", device_map="auto")
https://huggingface.co/NbAiLabArchive/test_w5_long_dataset/resolve/main/tokenizer_before_pytorch_convert.json
hf download hf://NbAiLabArchive/test_w5_long_dataset/tokenizer_before_pytorch_convert.json
curl -L -o tokenizer_before_pytorch_convert.json https://huggingface.co/NbAiLabArchive/test_w5_long_dataset/resolve/main/tokenizer_before_pytorch_convert.json
