Instructions to use lancehar/last_linear_seed5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lancehar/last_linear_seed5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lancehar/last_linear_seed5", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("lancehar/last_linear_seed5", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lancehar/last_linear_seed5: direct link, hf CLI and curl.
- Browser
- Download file 4.88 kB
-
https://huggingface.co/lancehar/last_linear_seed5/resolve/main/training_args.bin
- Command line
-
hf download hf://lancehar/last_linear_seed5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lancehar/last_linear_seed5/resolve/main/training_args.bin
4.88 kB
- Xet hash:
- d1c407e2d80958b784cbb287c4f35876ecc8ddbbe590882b015769127d99b81a
- Size of remote file:
- 4.88 kB
- SHA256:
- f026668a3ca487902a4a2bb062ac9ad8d420701213896ab9d360e5292be3888f
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