Instructions to use davebulaval/MeaningBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davebulaval/MeaningBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davebulaval/MeaningBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davebulaval/MeaningBERT") model = AutoModelForSequenceClassification.from_pretrained("davebulaval/MeaningBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download large/tokenizer.json from davebulaval/MeaningBERT: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/davebulaval/MeaningBERT/resolve/main/large/tokenizer.json
- Command line
-
hf download hf://davebulaval/MeaningBERT/large/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/davebulaval/MeaningBERT/resolve/main/large/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.