Question Answering
Transformers
Safetensors
English
llama
text-generation
lexical semantics
definition modeling
Eval Results (legacy)
text-generation-inference
Instructions to use LM-Lexicon/LM-Lexicon-8B-Dense-Wordnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LM-Lexicon/LM-Lexicon-8B-Dense-Wordnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="LM-Lexicon/LM-Lexicon-8B-Dense-Wordnet")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LM-Lexicon/LM-Lexicon-8B-Dense-Wordnet") model = AutoModelForCausalLM.from_pretrained("LM-Lexicon/LM-Lexicon-8B-Dense-Wordnet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ae7cd3180832964c1f0fec40e58659631c87a800a14bff06bd7175fa6487788
- Size of remote file:
- 9.4 kB
- SHA256:
- 5cfe250ac4bb990f9b4ddcb207bb078a23f10a1402c756f39bab1d9f5a752b93
路
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