Instructions to use EndLessTime/fine_tuned_new_mage_cmv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_new_mage_cmv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_new_mage_cmv")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_new_mage_cmv") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_new_mage_cmv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c81bf81b3469e9e0c6db2c697f2e2915a259a2219aaf630b47e38df9a564c379
- Size of remote file:
- 5.3 kB
- SHA256:
- e49f7c3f5f09777f2350c99217e6ceb1b11f6fe55cafc854147e180bc7763d7a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.