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
Commit ·
08e58e6
1
Parent(s): ec94f92
First commit
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "add_prefix_space": false, "trim_offsets": true, "model_max_length": 1024, "additional_special_tokens": ["<>"], "special_tokens_map_file": null, "name_or_path": "/media/storage/ks-home/wikidata-parser/models/full_genie_plus_rep_knowgen_epoch_3-step_280000", "tokenizer_class": "BartTokenizer"}
|