Instructions to use mariiaponom/flan_large_summarization_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mariiaponom/flan_large_summarization_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mariiaponom/flan_large_summarization_1") model = AutoModelForSeq2SeqLM.from_pretrained("mariiaponom/flan_large_summarization_1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6813059e12716c465c9a56b1e2cce71a96bd80b3e8832b3393b3def9bba4a6f8
|
| 3 |
+
size 3132668808
|