Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use LysandreJik/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LysandreJik/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LysandreJik/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LysandreJik/testing") model = AutoModelForSequenceClassification.from_pretrained("LysandreJik/testing") - Notebooks
- Google Colab
- Kaggle
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2021-09-22T14:49:03,22510de0-5f5a-4992-a10f-5f87ce9f9508,codecarbon,3.48142671585083,2.050872917901026e-06,9.743978340031914e-06,United States,USA,new york,N,, | |
| 2021-09-22T15:08:34,ef930ccc-f4fc-4018-99d3-6a54debbdd9e,codecarbon,3.406071901321411,1.7260724964297528e-06,8.200807018188922e-06,United States,USA,new york,N,, | |
| 2021-09-22T15:19:05,bca339a8-4fac-43f6-ac25-2e8d3a7095af,codecarbon,3.5282180309295654,2.391883983359914e-06,1.1364168653405084e-05,United States,USA,new york,N,, | |