Instructions to use reevan/bert_kan_rom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reevan/bert_kan_rom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reevan/bert_kan_rom")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reevan/bert_kan_rom") model = AutoModelForSequenceClassification.from_pretrained("reevan/bert_kan_rom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from reevan/bert_kan_rom: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/reevan/bert_kan_rom/resolve/main/tokenizer.json
- Command line
-
hf download hf://reevan/bert_kan_rom/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/reevan/bert_kan_rom/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.