Instructions to use telsayed/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use telsayed/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="telsayed/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("telsayed/test") model = AutoModelForMaskedLM.from_pretrained("telsayed/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from telsayed/test: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/telsayed/test/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://telsayed/test/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/telsayed/test/resolve/main/tokenizer_config.json
28 Bytes
| { | |
| "do_lower_case": true | |
| } | |