Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use jnwulff/classifier-chapter4-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnwulff/classifier-chapter4-modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jnwulff/classifier-chapter4-modernbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jnwulff/classifier-chapter4-modernbert") model = AutoModelForSequenceClassification.from_pretrained("jnwulff/classifier-chapter4-modernbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from jnwulff/classifier-chapter4-modernbert: direct link, hf CLI and curl.
- Browser
- Download file 694 Bytes
-
https://huggingface.co/jnwulff/classifier-chapter4-modernbert/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://jnwulff/classifier-chapter4-modernbert/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/jnwulff/classifier-chapter4-modernbert/resolve/main/special_tokens_map.json
694 Bytes
| { | |
| "cls_token": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "[MASK]", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |