Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use PracticalWork/xlm-roberta-large-classifier-prompted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PracticalWork/xlm-roberta-large-classifier-prompted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PracticalWork/xlm-roberta-large-classifier-prompted")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PracticalWork/xlm-roberta-large-classifier-prompted") model = AutoModelForSequenceClassification.from_pretrained("PracticalWork/xlm-roberta-large-classifier-prompted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from PracticalWork/xlm-roberta-large-classifier-prompted: direct link, hf CLI and curl.
- Browser
- Download file 1.29 kB
-
https://huggingface.co/PracticalWork/xlm-roberta-large-classifier-prompted/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://PracticalWork/xlm-roberta-large-classifier-prompted/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/PracticalWork/xlm-roberta-large-classifier-prompted/resolve/main/tokenizer_config.json
1.29 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "250001": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "extra_special_tokens": {}, | |
| "mask_token": "<mask>", | |
| "max_length": 512, | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "stride": 0, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "<unk>" | |
| } | |