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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "bos_token_id": 128000, | |
| "decoder_start_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": 128001, | |
| "max_new_tokens": 64, | |
| "pad_token_id": 128009, | |
| "repetition_penalty": 1.05, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.44.0" | |
| } | |