Unlicensed Descriptor Embedding and Clustering for Atomisitic-environment Framework (DECAF) ( ⭐ 2) - Provides a workflow to obtain clustering of local environments in dataset of structures. UnlicensedVisualizationProjects that focus on visualization (viz.) for atomistic ML....
yiwang / best-of-streamlit Public forked from jrieke/best-of-streamlit Notifications You must be signed in to change notification settings Fork 0 Star 0 🏆 A ranked gallery of awesome streamlit apps built by the community License
Use-case:Using a pre-trained BERT model for sentence embedding. fromtransformersimportBertTokenizer,BertModelimporttorch tokenizer=BertTokenizer.from_pretrained('bert-base-uncased')model=BertModel.from_pretrained("bert-base-uncased")text="Transformers are amazing!"inputs=tokenizer(text,return_tensors="p...
Embedding Model Name:系统内置四种模型供您选择,将自动为您配置最合适的模型。 Embedding Dimension:设置Embedding维度,维度的设置对模型的性能有直接影响。在您选择Embedding模型后,系统将自动配置Embedding维度,无需手动操作。 测试向量检索库连接是否正常。
# Create a Ragas HuggingFace Dataset from the pandas df. ragas_input_ds = assemble_ragas_dataset(eval_df) display(ragas_input_ds) The default LLM model used by Ragas is OpenAI’s `gpt-3.5-turbo-16k` and the default embedding model is `text-embedding-ada-002`. Since ragas uses LangChain...
✅ 本项目中 Embedding 默认选用的是GanymedeNil/text2vec-large-chinese,LLM 默认选用的是ChatGLM-6B。依托上述模型,本项目可实现全部使用开源模型离线私有部署。 ⛓️ 本项目实现原理如下图所示,过程包括加载文件 -> 读取文本 -> 文本分割 -> 文本向量化 -> 问句向量化 -> 在文本向量中匹配出与问句向量最...
Read the inference code in src/model.py and try using the final hidden state(.xx .aa .bb) as a faithful sentence embedding for other tasks. Probably you shall begin with .xx and .aa/.bb (.aa divided by .bb). Colab for fine-tuning RWKV-4 Pile models:https://colab.research.google...
So it's combining the best of RNN and transformer -great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding(using the final hidden state). Raven 14B(finetuned on Alpaca+ShareGPT+...) Demo:https://huggingface.co/spaces/BlinkDL/ChatRWKV...
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python generation.py \ --config='models/sd/configs/stable-diffusion/v1-inference.yaml'\ --ckpt='models/sd/models/ldm/stable-diffusion-v1/model.ckpt'\ --plms \ --attr-list='Male,Skin_tone,Age'\ --outdir='./ckpts/a_headshot_of_a_person_Male_Skin_tone_Age/original_prompt_embedding/...