Instructions to use bpHigh/CE_SEMREL_BASE_DATA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bpHigh/CE_SEMREL_BASE_DATA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bpHigh/CE_SEMREL_BASE_DATA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bpHigh/CE_SEMREL_BASE_DATA") model = AutoModelForSequenceClassification.from_pretrained("bpHigh/CE_SEMREL_BASE_DATA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bpHigh/CE_SEMREL_BASE_DATA: direct link, hf CLI and curl.
- Browser
- Download file 6.28 MB
-
https://huggingface.co/bpHigh/CE_SEMREL_BASE_DATA/resolve/main/tokenizer.json
- Command line
-
hf download hf://bpHigh/CE_SEMREL_BASE_DATA/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bpHigh/CE_SEMREL_BASE_DATA/resolve/main/tokenizer.json
6.28 MB
File too large to display, you can check the raw version instead.