Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Italian
legal ruling
Generated from Trainer
text-embeddings-inference
Instructions to use ribesstefano/RuleBert-v0.2-k0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ribesstefano/RuleBert-v0.2-k0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ribesstefano/RuleBert-v0.2-k0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ribesstefano/RuleBert-v0.2-k0") model = AutoModelForSequenceClassification.from_pretrained("ribesstefano/RuleBert-v0.2-k0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tmp-checkpoint-2000/special_tokens_map.json from ribesstefano/RuleBert-v0.2-k0: direct link, hf CLI and curl.
- Browser
- Download file 964 Bytes
-
https://huggingface.co/ribesstefano/RuleBert-v0.2-k0/resolve/main/tmp-checkpoint-2000/special_tokens_map.json
- Command line
-
hf download hf://ribesstefano/RuleBert-v0.2-k0/tmp-checkpoint-2000/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/ribesstefano/RuleBert-v0.2-k0/resolve/main/tmp-checkpoint-2000/special_tokens_map.json
964 Bytes
| { | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "cls_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "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": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |