sampling

app.py

@@ -52,12 +52,12 @@ with open("bad_words.txt", "r") as f:
 model, image_processor, tokenizer = create_model_and_transforms(
     clip_vision_encoder_pretrained="openai",
     clip_vision_encoder_path="ViT-L-14",
-    lang_encoder_path="anas-awadalla/mpt-7b",
-    tokenizer_path="anas-awadalla/mpt-7b",
+    lang_encoder_path="togethercomputer/RedPajama-INCITE-Instruct-3B-v1",
+    tokenizer_path="togethercomputer/RedPajama-INCITE-Instruct-3B-v1",
     cross_attn_every_n_layers=2,
 )
 
-checkpoint_path = hf_hub_download("openflamingo/OpenFlamingo-9B-vitl-mpt7b", "checkpoint.pt")
+checkpoint_path = hf_hub_download("openflamingo/OpenFlamingo-4B-vitl-rpj3b-langinstruct", "checkpoint.pt")
 model.load_state_dict(torch.load(checkpoint_path), strict=False)
 
 model.eval()