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 config_sentence_transformers.json from mtyrrell/CPU_Mitigation_Classifier: direct link, hf CLI and curl.
- Browser
- Download file 116 Bytes
-
https://huggingface.co/mtyrrell/CPU_Mitigation_Classifier/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://mtyrrell/CPU_Mitigation_Classifier/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/mtyrrell/CPU_Mitigation_Classifier/resolve/main/config_sentence_transformers.json
116 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.0.0", | |
| "transformers": "4.6.1", | |
| "pytorch": "1.8.1" | |
| } | |
| } |