Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Safetensors
t5
text2text-generation
text-generation-inference
Instructions to use JustAPR/resGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JustAPR/resGen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JustAPR/resGen") model = AutoModelForSeq2SeqLM.from_pretrained("JustAPR/resGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update src/prediction.py
Browse files- src/prediction.py +1 -1
src/prediction.py
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@@ -2,7 +2,7 @@ from transformers import FlaxAutoModelForSeq2SeqLM
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from transformers import AutoTokenizer
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import textwrap
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MODEL_NAME_OR_PATH = "JustAPR/
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME_OR_PATH, use_fast=True)
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model = FlaxAutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME_OR_PATH)
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from transformers import AutoTokenizer
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import textwrap
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MODEL_NAME_OR_PATH = "JustAPR/resGen"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME_OR_PATH, use_fast=True)
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model = FlaxAutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME_OR_PATH)
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