Hugging Face's logo
Full-text search
+ 1,000 results

FlagAlpha / README

README.md

space
31 matches
tags: static
10
11
12
13
14
# Llama中文社区 
 
## 🚀 社区地址： 
 
Github：[**Llama-Chinese**](https://github.com/LlamaFamily/Llama-Chinese) 

oslamtest / README

README.md

space
24 matches
tags: static
9
10
11
12
13
# **Llama 2** 
*From Meta* 
 
Welcome to the Hugging Face organization for Llama 2 models from Meta!  
 

LlamaFamily / README

README.md

space
25 matches
tags: static
10
11
12
13
14
# Llama中文社区 
 
## 🚀 社区地址： 
 
Github：[**Llama2-Chinese**](https://github.com/FlagAlpha/Llama2-Chinese) 

econ603 / llama

Dockerfile

space
1 matches
1
2
3
FROM huggingface/autotrain-advanced:latest 
CMD pip uninstall -y autotrain-advanced && pip install -U autotrain-advanced && autotrain app --host 0.0.0.0 --port 7860 --workers 1 
 

MRajab / llama

app.py

space
3 matches
3
4
5
6
7
lama/Llama-2-13b-chat-hf") 
model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") 
 
 
def greet(name): 

yankuo / llama

space
1 matches

JayP445 / llama

space
1 matches

breez7 / llama

space
1 matches

jinxuewen / llama

space
1 matches

dummydummy / llama

space
1 matches

psyne / llama

space
1 matches

amandeep0 / LLAMA

Dockerfile

space
1 matches
1
2
3
FROM huggingface/autotrain-advanced:latest 
CMD autotrain app --port 7860 
 

Arvind2504 / llama

index.html

space
1 matches
1
2
3
4
5
<!DOCTYPE html> 
<html> 
<head> 
<meta charset="utf-8" /> 
<meta name="viewport" content="width=device-width" /> 

taimoori / llama

space
1 matches

ManuelMonteiro / Llama

space
1 matches

Fankrit10 / llama

app.py

space
1 matches
1
2
3
4
5
import gradio as gr 
from transformers import AutoModelForCausalLM, AutoTokenizer 
 
# Cargar el modelo desde el espacio en Hugging Face 
model_name = "tiiuae/falcon-7b-instruct" 

newbia / llama

Dockerfile

space
1 matches
1
2
3
4
5
ARG MODEL_NAME 
ARG MODEL_PARAMS 
ARG APP_COLOR 
ARG APP_NAME 
 

Caxil50991 / Llama

space
1 matches

typesdigital / Llama

app.py

space
3 matches
6
7
8
9
10
lama/Llama-2-70b-chat-hf") 
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-70b-chat-hf") 
 
# Define a function to generate responses 
def chatbot(text): 

jremmy / llama

app.py

space
1 matches
1
2
git lfs install 
git clone https://huggingface.co/jremmy/ADI007