Instructions to use thaboe01/resultsv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thaboe01/resultsv2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thaboe01/resultsv2") model = AutoModelForSeq2SeqLM.from_pretrained("thaboe01/resultsv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 83000
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 307867048
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40ef7e79bade1d1dbc6cb1599ca86ec38395c0a4406d1207ea1d7b25f93399ab
|
| 3 |
size 307867048
|