Instructions to use Mariaaaaa/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mariaaaaa/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mariaaaaa/checkpoints")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mariaaaaa/checkpoints") model = AutoModelForSequenceClassification.from_pretrained("Mariaaaaa/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download run-0/checkpoint-1250/optimizer.pt from Mariaaaaa/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 40.8 kB
-
https://huggingface.co/Mariaaaaa/checkpoints/resolve/main/run-0/checkpoint-1250/optimizer.pt
- Command line
-
hf download hf://Mariaaaaa/checkpoints/run-0/checkpoint-1250/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Mariaaaaa/checkpoints/resolve/main/run-0/checkpoint-1250/optimizer.pt
40.8 kB
- Xet hash:
- 4f516e05627002b7eb3771c7bc78551d6eb9e4d202d8e4172caa2afbf516c4d1
- Size of remote file:
- 40.8 kB
- SHA256:
- 31f67dc4ad932fd15a74f16fa3a55e515f7a9e96794ff0fb4daee51a3e4db2c9
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