Instructions to use SkyR/hing-mbert-ours-run-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyR/hing-mbert-ours-run-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyR/hing-mbert-ours-run-5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyR/hing-mbert-ours-run-5") model = AutoModelForSequenceClassification.from_pretrained("SkyR/hing-mbert-ours-run-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SkyR/hing-mbert-ours-run-5: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/SkyR/hing-mbert-ours-run-5/resolve/main/training_args.bin
- Command line
-
hf download hf://SkyR/hing-mbert-ours-run-5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SkyR/hing-mbert-ours-run-5/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 1556dfbb2717ce9ffe4400b028609fb9fddeeec447e5992b2b08b84f51d8ee25
- Size of remote file:
- 3.39 kB
- SHA256:
- 3e672253c24142dd8b5bc109c9bd275b32cf9dd01792016870a67242203a2e3b
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