Instructions to use neih4207/checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neih4207/checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neih4207/checkpoint")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neih4207/checkpoint") model = AutoModelForSequenceClassification.from_pretrained("neih4207/checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from neih4207/checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/neih4207/checkpoint/resolve/main/training_args.bin
- Command line
-
hf download hf://neih4207/checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/neih4207/checkpoint/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 6c5cc9174492364a1c732025e732c5c375974e25353a240ff4a33eaebe37ad54
- Size of remote file:
- 4.92 kB
- SHA256:
- 7cf7c487d8ca0d5e489f96cb0c915dedfd632d34fa1b19d1b0eaa16e44edb15c
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