Instructions to use circlemachinelearning/bart-email-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circlemachinelearning/bart-email-multitask with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("circlemachinelearning/bart-email-multitask") model = AutoModelForSeq2SeqLM.from_pretrained("circlemachinelearning/bart-email-multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500, checkpoint
Browse files
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| 91 |
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| 93 |
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|
| 94 |
}
|
| 95 |
],
|
| 96 |
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|
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|
| 119 |
"attributes": {}
|
| 120 |
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|
| 121 |
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| 122 |
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"total_flos": 1.7167531769856e+16,
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| 123 |
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| 124 |
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| 125 |
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last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6033
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19ffefef99189ef3675e3a83b1d4b98cef78e97ab875630a491095265a0370a0
|
| 3 |
size 6033
|