How to use mahaamami/distilroberta-base-model-transcript with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mahaamami/distilroberta-base-model-transcript")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mahaamami/distilroberta-base-model-transcript") model = AutoModelForMaskedLM.from_pretrained("mahaamami/distilroberta-base-model-transcript", device_map="auto")
https://huggingface.co/mahaamami/distilroberta-base-model-transcript/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://mahaamami/distilroberta-base-model-transcript@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/mahaamami/distilroberta-base-model-transcript/resolve/refs%2Fpr%2F1/tokenizer.json
