# Downstream Task Fine-tuning

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses are pending completion.

This is a transformers model hosted on Hugging Face Hub. Specific functions and purposes require further information to be added

This is a transformers model hosted on the Hugging Face Hub. Specific functions and uses require further information.

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses require further information.

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses require further information.

This is a transformers model hosted on Hugging Face Hub, with specific functions and purposes not clearly stated.

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses are pending further details.

This is a transformers model hosted on the Hugging Face Hub. Specific functionalities and use cases require additional details.

This is a transformers model hosted on Hugging Face Hub, with no specific functionality or purpose clearly stated.

This is a transformers model hosted on Hugging Face Hub. Specific functions and usage require further information.

This is a transformers model hosted on Hugging Face Hub. Specific functionalities and use cases require further information.

This is a transformers model hosted on the Hugging Face Hub. Specific functions and uses require further information.

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses require further information

This is a transformers model hosted on Hugging Face Hub. Specific functions and uses require further information.

This is a transformers model hosted on Hugging Face Hub. Specific functions and usage require additional information

This model is a transformers model hosted on the Hugging Face Hub, and its specific functions and uses require further information to be added

This is a transformers model hosted on Hugging Face Hub, with its specific functions and purposes not clearly stated.

This model is a transformers model hosted on Hugging Face Hub. Specific functionalities and use cases require further information.

A language model scaled down from Mistral 7B to 248 million parameters, designed for text generation tasks and suitable for downstream task fine-tuning.

Albertina 100M PTBR is a foundational large language model for Brazilian Portuguese, belonging to the BERT family of encoders, based on the Transformer neural network architecture, and developed on the DeBERTa model.

BERT is a pre-trained language model based on the Transformer architecture, trained on English corpus through masked language modeling and next sentence prediction tasks.

DistilRoBERTa is a distilled version of the RoBERTa-base model with fewer parameters but faster speed, suitable for English text processing tasks.

A RoBERTa model pretrained on Aozora Bunko texts using a character tokenizer, suitable for Japanese text processing tasks.

A large English language model pre-trained with masked language modeling objectives, using improved BERT training methods

XLNet is an unsupervised language representation learning method based on a generalized permutation language modeling objective, using Transformer-XL as the backbone model, excelling in long-context tasks.

Large Spanish language model trained on data from the National Library of Spain (BNE)

This is a DistilBERT model pretrained on Nepali text, specifically optimized for downstream tasks in Nepali.