Text Classification
Transformers
PyTorch
TensorBoard
mpnet
Generated from Trainer
text-embeddings-inference
Instructions to use mtyrrell/CPU_Mitigation_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtyrrell/CPU_Mitigation_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mtyrrell/CPU_Mitigation_Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mtyrrell/CPU_Mitigation_Classifier") model = AutoModelForSequenceClassification.from_pretrained("mtyrrell/CPU_Mitigation_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 1_Pooling/config.json from mtyrrell/CPU_Mitigation_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 190 Bytes
-
https://huggingface.co/mtyrrell/CPU_Mitigation_Classifier/resolve/2ff7aaa59bdbab064fe11d0f31b70030bf62d0a2/1_Pooling/config.json
- Command line
-
hf download hf://mtyrrell/CPU_Mitigation_Classifier@2ff7aaa59bdbab064fe11d0f31b70030bf62d0a2/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/mtyrrell/CPU_Mitigation_Classifier/resolve/2ff7aaa59bdbab064fe11d0f31b70030bf62d0a2/1_Pooling/config.json
190 Bytes
| { | |
| "word_embedding_dimension": 768, | |
| "pooling_mode_cls_token": false, | |
| "pooling_mode_mean_tokens": true, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false | |
| } |