Transformers
PyTorch
Safetensors
English
bart
text2text-generation
seq2seq
relation-extraction
triple-generation
entity-linking
entity-type-linking
relation-linking
Eval Results (legacy)
Instructions to use ibm-research/knowgl-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/knowgl-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibm-research/knowgl-large") model = AutoModelForSeq2SeqLM.from_pretrained("ibm-research/knowgl-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (5611dd31a0116d32a2aec33da115d5c52a07f786) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>67736f9 -
Librarian Bot: Update dataset YAML metadata for model (#1)
- Librarian Bot: Update dataset YAML metadata for model (db38956b5e25da373b80cca5ac3b1218d545f0d6) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>bc31d26
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