Instructions to use SushantGautam/KG-LLM-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/KG-LLM-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/KG-LLM-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/KG-LLM-bert-base") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/KG-LLM-bert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40ffc9e22bca1061d36cd15655875fa0c2ad76413c47596d4f3ecf0d86cff125
- Size of remote file:
- 876 MB
- SHA256:
- f40591d8603772ed6b635fb9adbd1f63dcf96d8f0c82a12f8d64cd42ab3ebe5b
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