Instructions to use miguelvictor/python-fromzero-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miguelvictor/python-fromzero-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("miguelvictor/python-fromzero-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("miguelvictor/python-fromzero-t5-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -14,3 +14,4 @@
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9de452c90e7f017368735618a5083cba03cb20f6b3371e432d84aaa767fda1a4
|
| 3 |
+
size 445632112
|