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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibm-research/knowgl-large") model = AutoModelForSeq2SeqLM.from_pretrained("ibm-research/knowgl-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01d279c95fa5d57fad89dab6f159a5a035e23265b56d821be8553bae45a717ef
- Size of remote file:
- 1.63 GB
- SHA256:
- c01dcba5ef1371bbedb694cb915839534ce7e6b75ad26b9ea14ee757be569c21
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