Instructions to use preneond/newlinefix-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use preneond/newlinefix-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="preneond/newlinefix-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("preneond/newlinefix-encoder") model = AutoModelForTokenClassification.from_pretrained("preneond/newlinefix-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from preneond/newlinefix-encoder: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/preneond/newlinefix-encoder/resolve/main/tokenizer.json
- Command line
-
hf download hf://preneond/newlinefix-encoder/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/preneond/newlinefix-encoder/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.