Instructions to use fliarbi/long-about-teams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fliarbi/long-about-teams with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fliarbi/long-about-teams") model = AutoModelForSeq2SeqLM.from_pretrained("fliarbi/long-about-teams", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 60000
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 990345064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa31c6a9e837477dc8aa74af8edaaf12b234c6c4e88c2534384ed5cd7041b3d1
|
| 3 |
size 990345064
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4792
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff4d2cb1b69a3d6609014c12efed26b66eaa2726a2757686548085072d471b59
|
| 3 |
size 4792
|