Instructions to use apps1/without_distillation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apps1/without_distillation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apps1/without_distillation", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("apps1/without_distillation", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efc2a8fce080e866e4eb6e95f8ebcd9e3a7eebc500f4dae5baf524a53cf4e30d
- Size of remote file:
- 3.88 MB
- SHA256:
- 28069ffac4faa67e1e4354b935ca558b1c0bc8f4fb6ac416ba75a7d07ded6574
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