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
Librarian Bot: Update dataset YAML metadata for model
#1
by librarian-bot - opened
This is a pull request to add a dataset, Babelscape/rebel-dataset, to the metadata for your model (defined in the YAML block of your model's README.md).
The pull request was made by librarian-bot and used a combination of rules and/or machine learning to suggest this additional metadata.
If this suggestion is incorrect, feel free to close this pull request.
Librarian Bot was made by @davanstrien; feel free to get in touch with feedback.
faisalchow changed pull request status to merged