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:
- 6390b5a08535f77130b5e76b74548bfb529be293c5aa4a5d8f5b93d6a25f580e
- Size of remote file:
- 4.92 kB
- SHA256:
- a9c55328111b05093836a24dc0c88ac2fe08c8d2c0021b421da4c9c9e7333eba
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