Instructions to use markwatney/AIHub with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use markwatney/AIHub with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="markwatney/AIHub")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("markwatney/AIHub") model = AutoModelForMaskedLM.from_pretrained("markwatney/AIHub", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from markwatney/AIHub: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/markwatney/AIHub/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://markwatney/AIHub/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/markwatney/AIHub/resolve/main/tokenizer_config.json
56 Bytes
| { | |
| "do_lower_case": false, | |
| "model_max_length": 128 | |
| } | |