Instructions to use Abris/input_classifier_v3_muppet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abris/input_classifier_v3_muppet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abris/input_classifier_v3_muppet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abris/input_classifier_v3_muppet") model = AutoModelForSequenceClassification.from_pretrained("Abris/input_classifier_v3_muppet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Abris/input_classifier_v3_muppet: direct link, hf CLI and curl.
- Browser
- Download file 379 Bytes
-
https://huggingface.co/Abris/input_classifier_v3_muppet/resolve/refs%2Fpr%2F3/tokenizer_config.json
- Command line
-
hf download hf://Abris/input_classifier_v3_muppet@refs/pr/3/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Abris/input_classifier_v3_muppet/resolve/refs%2Fpr%2F3/tokenizer_config.json
379 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |