tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/AutoCompressor-Llama-2-7b-6k") # Need bfloat16 + cuda to run Llama model with flash attention model = LlamaAutoCompressorModel.from_pretrained("princeton-nlp/AutoCompressor-Llama-2-7b-6k", torch_dtype=torch.bfloat16).eval().cuda() pr...
Kazakhkaznlp Any other languagespacy STS STS classifier default settings: { "allowedPatterns":[], "stsSettings":{ "exactMatch":1.0, "lemmaMatch":0.95, "jaccardMatch":0.5, "jaccardMatchThreshold":0.82, "acronymMatch":1.0, "synonymMatch":0.5, ...
Noun Chunks: extract noun chunks from a text, in many languages All the large spaCy models are available. Paraphrasing and rewriting: generate a similar content with the same meaning, in many languages. We use LLaMA 3.1 405B and an in-house NLP Cloud model called Fine-tuned LLaMA 3 70B....
AutoCompressorModel # Load AutoCompressor trained by compressing 6k tokens in 4 compression steps tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/AutoCompressor-Llama-2-7b-6k") # Need bfloat16 + cuda to run Llama model with flash attention model = LlamaAutoCompressorModel.from...
首要步骤是配置开发环境,安装必需的 Python 库以及下载 Spacy 模型。 (base) Florian:~ Florian$ conda create -n "selective_context" python=3.10 (base) Florian:~ Florian$ conda activate selective_context (selective_context) Florian:~ Florian$ pip install selective-context (selective_context) Florian:~...
Advanced-Name-Screening-and-Entity-Linking-with-Existing-NLP-Models Project Overview: In collaboration with Solytics Partners, we developed a machine learning system for assessing credit risk in banking by identifying high-risk individuals through the extraction and matching of names from negative news...
Day 89 (8-12-18) GDG AI Meetup - Hands-on session on NLP Attended the GDG AI Meetup at Altimetrik Worked on the colab notebook pertaining to building a top class sentiment analyser using Spacy and Altair NLP with Spacy which is an industry grade NLP library along with NLTK Day 90 (9...
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首要步骤是配置开发环境,安装必需的 Python 库以及下载 Spacy 模型。 (base) Florian:~ Florian$ conda create -n "selective_context" python=3.10 (base) Florian:~ Florian$ conda activate selective_context (selective_context) Florian:~ Florian$ pip install selective-context (selective_context) Florian:~...