T

Tiny Random LlamaForCausalLM

Developed by trl-internal-testing
This model is based on the transformers library, with no specific details provided.
Downloads 773.88k
Release Time : 3/29/2023

Model Overview

The specific functions and uses of the model are not clearly stated; it may be a pre-trained model based on the transformers architecture.

Model Features

Based on transformers architecture
This model adopts the transformers architecture, potentially offering robust sequence modeling capabilities.

Model Capabilities

Text Processing
Sequence Modeling

Use Cases

Natural Language Processing
Text Classification
Can be used for text classification tasks such as sentiment analysis, topic classification, etc.
Text Generation
May support text generation tasks such as summarization, dialogue generation, etc.
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