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
Adding safetensors model version
#10 opened 4 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 almost 3 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 about 3 years ago
by
kevinlu1248