Translation
Transformers
PyTorch
TensorFlow
JAX
Rust
ONNX
t5
text2text-generation
summarization
text-generation-inference
Instructions to use altfreq/t5-small-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use altfreq/t5-small-temp with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="altfreq/t5-small-temp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("altfreq/t5-small-temp") model = AutoModelForSeq2SeqLM.from_pretrained("altfreq/t5-small-temp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Attempt malicious pickle
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change injection
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change injection
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Attempt malicious pickle
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remove model.safetensors
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add BertLMHeadModel
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add BertLMHeadModel
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init
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initial commit
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