Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Conditional_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Conditional_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Conditional_Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Conditional_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Conditional_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from mtyrrell/CPU_Conditional_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/mtyrrell/CPU_Conditional_Classifier/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://mtyrrell/CPU_Conditional_Classifier/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/mtyrrell/CPU_Conditional_Classifier/resolve/main/special_tokens_map.json
280 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "[UNK]" | |
| } | |