Instructions to use SkyR/hing-mbert-ours-run-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyR/hing-mbert-ours-run-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyR/hing-mbert-ours-run-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyR/hing-mbert-ours-run-2") model = AutoModelForSequenceClassification.from_pretrained("SkyR/hing-mbert-ours-run-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3cbe920b3256e38c6cb2f6a212672cd1d208ba37b9c9bcc9f47e5edc25e1f26
- Size of remote file:
- 711 MB
- SHA256:
- bec364eca01587436f9096ea3184681c9429214dc19596a9f922669c52f679cc
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