Instructions to use SushantGautam/KG-LLM-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/KG-LLM-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/KG-LLM-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/KG-LLM-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/KG-LLM-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83cfa612f9e2f67774c88b7d698cf631f0e632adba7afebde6d970975d3cda37
- Size of remote file:
- 997 MB
- SHA256:
- d350d32d943092fa6c0a57dbbc3477d304eb34a8abb09e8994a42420e45df595
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