ApolloQT/Flux-Uncensored-V2
Image-to-Image • Updated • 1.14k • 110
Simen Kjelsrud
simkjels
·
AI & ML interests
None yet
Recent Activity
liked a model 6 days ago
ApolloQT/Flux-Uncensored-V2 liked a model 26 days ago
Qwen/Qwen3.8-Flash-Next reacted to lucifertrj's post with 👀 over 2 years ago
Evaluate RAG using Open Source from HuggingFace using BeyondLLM
```
# pip install beyondllm
# pip install huggingface_hub
# pip install llama-index-embeddings-fastembed
from beyondllm.source import fit
from beyondllm.embeddings import FastEmbedEmbeddings
from beyondllm.retrieve import auto_retriever
from beyondllm.llms import HuggingFaceHubModel
from beyondllm.generator import Generate
import os
from getpass import getpass
os.environ['HUGGINGFACE_ACCESS_TOKEN'] = getpass("Enter your HF API token:")
data = fit("RedHenLab_GSoC_Tarun.pdf",dtype="pdf")
embed_model = FastEmbedEmbeddings()
retriever = auto_retriever(data=data,embed_model=embed_model,type="normal",top_k=3)
llm = HuggingFaceHubModel(model="mistralai/Mistral-7B-Instruct-v0.2")
pipeline = Generate(question="what models has Tarun fine-tuned?",llm=llm,retriever=retriever)
print(pipeline.call()) # Return the AI response
print(pipeline.get_rag_triad_evals())
```
GitHub: https://github.com/aiplanethub/beyondllm
Don't forget to ⭐️ the repoOrganizations
liked a
model 6 days ago
liked a
model 26 days ago
reacted to lucifertrj's post with 👀🔥 over 2 years ago
Post
1883
Evaluate RAG using Open Source from HuggingFace using BeyondLLM
GitHub: https://github.com/aiplanethub/beyondllm
Don't forget to ⭐️ the repo
# pip install beyondllm
# pip install huggingface_hub
# pip install llama-index-embeddings-fastembed
from beyondllm.source import fit
from beyondllm.embeddings import FastEmbedEmbeddings
from beyondllm.retrieve import auto_retriever
from beyondllm.llms import HuggingFaceHubModel
from beyondllm.generator import Generate
import os
from getpass import getpass
os.environ['HUGGINGFACE_ACCESS_TOKEN'] = getpass("Enter your HF API token:")
data = fit("RedHenLab_GSoC_Tarun.pdf",dtype="pdf")
embed_model = FastEmbedEmbeddings()
retriever = auto_retriever(data=data,embed_model=embed_model,type="normal",top_k=3)
llm = HuggingFaceHubModel(model="mistralai/Mistral-7B-Instruct-v0.2")
pipeline = Generate(question="what models has Tarun fine-tuned?",llm=llm,retriever=retriever)
print(pipeline.call()) # Return the AI response
print(pipeline.get_rag_triad_evals())GitHub: https://github.com/aiplanethub/beyondllm
Don't forget to ⭐️ the repo
- 4 replies
liked 2
models over 2 years ago
