Instructions to use Jackkkkk/tm-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jackkkkk/tm-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Jackkkkk/tm-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Jackkkkk/tm-bert") model = AutoModel.from_pretrained("Jackkkkk/tm-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Jackkkkk/tm-bert: direct link, hf CLI and curl.
- Browser
- Download file 29 Bytes
-
https://huggingface.co/Jackkkkk/tm-bert/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Jackkkkk/tm-bert/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/Jackkkkk/tm-bert/resolve/main/tokenizer_config.json
29 Bytes
| { | |
| "do_lower_case": false | |
| } | |