Instructions to use zsp367252405/Neight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zsp367252405/Neight with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zsp367252405/Neight")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zsp367252405/Neight") model = AutoModelForMaskedLM.from_pretrained("zsp367252405/Neight", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from zsp367252405/Neight: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/zsp367252405/Neight/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://zsp367252405/Neight/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/zsp367252405/Neight/resolve/main/tokenizer_config.json
28 Bytes
| { | |
| "do_lower_case": true | |
| } | |