How to use hf-internal-testing/tiny-random-IdeficsModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-IdeficsModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-IdeficsModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-IdeficsModel", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-IdeficsModel/resolve/b873dfb2cd622425f9655f6c395abe048d431c4d/tokenizer.json
hf download hf://hf-internal-testing/tiny-random-IdeficsModel@b873dfb2cd622425f9655f6c395abe048d431c4d/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-IdeficsModel/resolve/b873dfb2cd622425f9655f6c395abe048d431c4d/tokenizer.json
