Instructions to use Hugging-GK/ModerBert-MultiLabel-StackExchange-stack_exp_imb_exp1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hugging-GK/ModerBert-MultiLabel-StackExchange-stack_exp_imb_exp1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hugging-GK/ModerBert-MultiLabel-StackExchange-stack_exp_imb_exp1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hugging-GK/ModerBert-MultiLabel-StackExchange-stack_exp_imb_exp1") model = AutoModelForSequenceClassification.from_pretrained("Hugging-GK/ModerBert-MultiLabel-StackExchange-stack_exp_imb_exp1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d63f380bead3fd9cddbbebb114bb83b8d8cc8c4c75057e036e419278b9e8dbb2
- Size of remote file:
- 598 MB
- SHA256:
- 4c1c32c751470412900dea024996154f3ba53dd40fd77c02f0a13501e106fa23
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