Token Classification
Transformers
Safetensors
PyTorch
longformer
text-classification
bert
legal-domain
entity-classification
sequence-classification
NER
label-studio
english
fine-tuned
Instructions to use svercoutere/longformer-classifier-refinement-abb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svercoutere/longformer-classifier-refinement-abb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="svercoutere/longformer-classifier-refinement-abb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("svercoutere/longformer-classifier-refinement-abb") model = AutoModelForSequenceClassification.from_pretrained("svercoutere/longformer-classifier-refinement-abb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from svercoutere/longformer-classifier-refinement-abb: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/svercoutere/longformer-classifier-refinement-abb/resolve/main/tokenizer.json
- Command line
-
hf download hf://svercoutere/longformer-classifier-refinement-abb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/svercoutere/longformer-classifier-refinement-abb/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.