Instructions to use nnilayy/test-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nnilayy/test-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nnilayy/test-4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nnilayy/test-4") model = AutoModelForMaskedLM.from_pretrained("nnilayy/test-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nnilayy/test-4: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/nnilayy/test-4/resolve/main/training_args.bin
- Command line
-
hf download hf://nnilayy/test-4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nnilayy/test-4/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 545e73a2e06cff23aa7940e54682b27ac5e49fe2ccddef398e8fa1004e8c204d
- Size of remote file:
- 5.11 kB
- SHA256:
- f1e9dd4390dc6046c049eba210b47fa131fe0425b9e304ab238cc3a70b90e99e
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