mispeech
/

midashenglm-7b-0804-w4a16-gptq

Audio-Text-to-Text

audio-language-model

compressed-tensors

Model card Files Files and versions

GrantL10 commited on Oct 21

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@@ -29,7 +29,7 @@ An ideal choice for resource-constrained environments. It offers broad GPU compa
 ```python
 from transformers import AutoModelForCausalLM, AutoProcessor, AutoTokenizer
-model_id = "mispeech/midashenglm-7b-0804-w4a16-gptq"
 model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)

 ```python
 from transformers import AutoModelForCausalLM, AutoProcessor, AutoTokenizer
+model_id = "mispeech/midashenglm-7b-0804-gptq-w4a16"
 model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)