How to use hf-tiny-model-private/tiny-random-FSMTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-FSMTModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FSMTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-FSMTModel", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-FSMTModel/resolve/main/vocab-src.json
hf download hf://hf-tiny-model-private/tiny-random-FSMTModel/vocab-src.json
curl -L -o vocab-src.json https://huggingface.co/hf-tiny-model-private/tiny-random-FSMTModel/resolve/main/vocab-src.json
