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Salesforce
/
codet5p-220m

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
10

Instructions to use Salesforce/codet5p-220m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Salesforce/codet5p-220m with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5p-220m")
    model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5p-220m")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding safetensors model version

#10 opened 3 months ago by
fabiancpl

Update README.md

#9 opened 4 months ago by
ReactionControl

[AUTOMATED] Model Memory Requirements

#7 opened about 2 years ago by
model-sizer-bot

[AUTOMATED] Model Memory Requirements

#6 opened about 2 years ago by
model-sizer-bot

[AUTOMATED] Model Memory Requirements

#5 opened about 2 years ago by
model-sizer-bot

🚨🚨Big bug in Tokenizer!!🚨🚨

2
#4 opened over 2 years ago by
JoaoLages

Adding `safetensors` variant of this model

#3 opened over 2 years ago by
SFconvertbot

Challenges in reproducing the HumanEval scores reported in the paper with BigCode's Eval Harness

6
#2 opened almost 3 years ago by
Nadav-Timor

Usage for Retrieval

4
#1 opened almost 3 years ago by
kevinlu1248
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