Instructions to use trainMeWell/seg_distil_manyCorpus_undersampling_5-1_7sentsContext_defaultTrainer_batch16_rate7e05_epoch4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trainMeWell/seg_distil_manyCorpus_undersampling_5-1_7sentsContext_defaultTrainer_batch16_rate7e05_epoch4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trainMeWell/seg_distil_manyCorpus_undersampling_5-1_7sentsContext_defaultTrainer_batch16_rate7e05_epoch4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trainMeWell/seg_distil_manyCorpus_undersampling_5-1_7sentsContext_defaultTrainer_batch16_rate7e05_epoch4") model = AutoModelForSequenceClassification.from_pretrained("trainMeWell/seg_distil_manyCorpus_undersampling_5-1_7sentsContext_defaultTrainer_batch16_rate7e05_epoch4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
likely unstable due to small batch size
[[ 1397 541] [ 1140 34102]] 0.7208462332301342 0.9676522331309233
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