lucataco/cog-phi-3-mini-4k-instruct
Cog wrapper for the Transformers implementation of microsoft/Phi-3-mini-4k-instruct
This tool helps you quickly get concise, instruction-based text responses for a wide range of tasks. You provide a prompt or question, and it generates a relevant answer or output text. It's ideal for anyone who needs to integrate a small, capable language model into their existing applications or services to automate text-based interactions.
No commits in the last 6 months.
Use this if you need a compact, efficient language model to generate text based on specific instructions or prompts within your application.
Not ideal if you require a language model with a very large context window for extremely long documents or highly complex, multi-turn conversations.
Stars
8
Forks
1
Language
Python
License
—
Category
Last pushed
Apr 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/lucataco/cog-phi-3-mini-4k-instruct"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ThilinaRajapakse/simpletransformers
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling,...
jsksxs360/How-to-use-Transformers
Transformers 库快速入门教程
google/deepconsensus
DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences...
Denis2054/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning,...
abhimishra91/transformers-tutorials
Github repo with tutorials to fine tune transformers for diff NLP tasks