Instructions to use jacquesle/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacquesle/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jacquesle/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jacquesle/output") model = AutoModelForSequenceClassification.from_pretrained("jacquesle/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 18
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 433323381
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe3a7b976d9ef3b78a4754b96fa980aabbbc5fb50ef2901bc989cb7405b1cec5
|
| 3 |
size 433323381
|
runs/Feb25_11-06-31_cd794bebf183/events.out.tfevents.1677323357.cd794bebf183.107.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:069174b5a8cf5917e9860e93a37b5cbe53ce63538fda2fcb3eb2f4dcecf6660f
|
| 3 |
+
size 14823
|