Topic: causal-language-modeling Goto Github
Some thing interesting about causal-language-modeling
Some thing interesting about causal-language-modeling
causal-language-modeling,An AI generated picturebook.
User: aneesh-aparajit
causal-language-modeling,A quick and easy way to interact with open-source LLMs.
User: cyrilvallez
causal-language-modeling,Repository for My HuggingFace Natural Language Processing Projects
User: dunnbc22
causal-language-modeling,Auto-regressive causal language model for molecule (SMILES) and reaction template (SMARTS) generation based on the Hugging Face implementation of OpenAI's GPT-2 transformer decoder model
User: hogru
causal-language-modeling,This is the implementation of low rank adaptation (LoRA) which is a subset of parameter efficient fine tuning (PEFT).
User: jayveersinh-raj
causal-language-modeling,
User: nnilayy
causal-language-modeling,Course materials for the Machine Learning for NLP course taught by Sameer Singh for the Cognitive Science summer school 2022.
User: pastelbelem8
Home Page: http://sameersingh.org/courses/ml4nlp/su22/
causal-language-modeling,Causal language modeling and intent classification using GPT-2.
User: samyak24jain
causal-language-modeling,Transformers Intuition
User: sharathhebbar
Home Page: https://medium.com/@sharathhebbar24/transformers-an-intution-3ef6ef3b15f5
causal-language-modeling,Dataset and model fine-tuning for function calling
User: thibaud-perrin
Home Page: https://huggingface.co/thibaud-perrin/hibo-mistral-7b-fc-v1
causal-language-modeling,Fine-tuning (or training from scratch) the library models for language modeling on a text dataset for GPT, GPT-2, ALBERT, BERT, DitilBERT, RoBERTa, XLNet... GPT and GPT-2 are trained or fine-tuned using a causal language modeling (CLM) loss while ALBERT, BERT, DistilBERT and RoBERTa are trained or fine-tuned using a masked language modeling (MLM) loss.
User: tranquoctrinh
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