How to use hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration/resolve/main/vocab-src.json
hf download hf://hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration/vocab-src.json
curl -L -o vocab-src.json https://huggingface.co/hf-tiny-model-private/tiny-random-FSMTForConditionalGeneration/resolve/main/vocab-src.json
