Upload folder using huggingface_hub
Browse files- web_demo.py +5 -3
- web_demo2.py +5 -2
- web_demo_old.py +5 -3
- web_demo_vision.py +5 -3
web_demo.py
CHANGED
@@ -4,9 +4,11 @@ import mdtex2html
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# tokenizer = AutoTokenizer.from_pretrained("../chatglm", trust_remote_code=True)
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# model = AutoModel.from_pretrained("../chatglm", trust_remote_code=True).float()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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model = model.eval()
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"""Override Chatbot.postprocess"""
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# tokenizer = AutoTokenizer.from_pretrained("../chatglm", trust_remote_code=True)
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# model = AutoModel.from_pretrained("../chatglm", trust_remote_code=True).float()
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# tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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# model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", use_fast=False, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan-13B-Chat", device_map="auto", torch_dtype=torch.float16, trust_remote_code=True)
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model.generation_config = GenerationConfig.from_pretrained("baichuan-inc/Baichuan-13B-Chat")
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model = model.eval()
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"""Override Chatbot.postprocess"""
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web_demo2.py
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@@ -13,8 +13,11 @@ st.set_page_config(
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def get_model():
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# tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
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# model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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model = model.eval()
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return tokenizer, model
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def get_model():
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# tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
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# model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
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# tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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# model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", use_fast=False, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan-13B-Chat", device_map="auto", torch_dtype=torch.float16, trust_remote_code=True)
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model.generation_config = GenerationConfig.from_pretrained("baichuan-inc/Baichuan-13B-Chat")
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model = model.eval()
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return tokenizer, model
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web_demo_old.py
CHANGED
@@ -3,9 +3,11 @@ import gradio as gr
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# tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
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# model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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model = model.eval()
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MAX_TURNS = 20
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# tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
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# model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
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# tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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# model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", use_fast=False, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan-13B-Chat", device_map="auto", torch_dtype=torch.float16, trust_remote_code=True)
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model.generation_config = GenerationConfig.from_pretrained("baichuan-inc/Baichuan-13B-Chat")
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model = model.eval()
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MAX_TURNS = 20
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web_demo_vision.py
CHANGED
@@ -4,9 +4,11 @@ import mdtex2html
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# tokenizer = AutoTokenizer.from_pretrained("THUDM/visualglm-6b", trust_remote_code=True)
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# model = AutoModel.from_pretrained("THUDM/visualglm-6b", trust_remote_code=True).half().cuda()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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model = model.eval()
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"""Override Chatbot.postprocess"""
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# tokenizer = AutoTokenizer.from_pretrained("THUDM/visualglm-6b", trust_remote_code=True)
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# model = AutoModel.from_pretrained("THUDM/visualglm-6b", trust_remote_code=True).half().cuda()
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# tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True)
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# model = AutoModel.from_pretrained("baichuan-inc/Baichuan-13B-Chat", trust_remote_code=True).float()
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tokenizer = AutoTokenizer.from_pretrained("baichuan-inc/Baichuan-13B-Chat", use_fast=False, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan-13B-Chat", device_map="auto", torch_dtype=torch.float16, trust_remote_code=True)
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model.generation_config = GenerationConfig.from_pretrained("baichuan-inc/Baichuan-13B-Chat")
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model = model.eval()
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"""Override Chatbot.postprocess"""
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