Instructions to use igerasimov/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igerasimov/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="igerasimov/checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("igerasimov/checkpoints") model = AutoModelForSequenceClassification.from_pretrained("igerasimov/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77f64ce73e907b8a9647d02d77fb7c8b5a4572b7508aea3f69bafc87e3ae9590
- Size of remote file:
- 4.92 kB
- SHA256:
- 5e412fb07dca201916a4388237c0a364381577df79af9913a69fc099ca3c34bd
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