Instructions to use Ben10x/bert-base-mti881 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ben10x/bert-base-mti881 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ben10x/bert-base-mti881")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ben10x/bert-base-mti881") model = AutoModelForTokenClassification.from_pretrained("Ben10x/bert-base-mti881", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ben10x/bert-base-mti881: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Ben10x/bert-base-mti881/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ben10x/bert-base-mti881/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ben10x/bert-base-mti881/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.