Instructions to use julien-c/dummy-diff-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/dummy-diff-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="julien-c/dummy-diff-tokenizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("julien-c/dummy-diff-tokenizer") model = AutoModelForMaskedLM.from_pretrained("julien-c/dummy-diff-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 130 Bytes
e9afa39 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3
size 65074
|