Instructions to use dtorber/bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dtorber/bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dtorber/bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("dtorber/bertweet-base") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 539629568
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:660351c97c5bde989b642a504e96f8b57a1fc05a4119f2959bce1de566094f0a
|
| 3 |
size 539629568
|
runs/Apr05_18-50-13_tardis/events.out.tfevents.1712335818.tardis.3511874.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea3c3598ff694d2cc4090b59c2b4510fa20286532335cf4a50afcdd12681445b
|
| 3 |
+
size 4184
|
runs/Apr05_18-54-00_tardis/events.out.tfevents.1712336045.tardis.3512599.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a3d570f112ad14e83482e187d54ffbeb87e639c38afcfb9b6bd13d8ef6322cb
|
| 3 |
+
size 6218
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5048
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9edef3e95904fc8fe5aedafd59ac201a664b2bf1c73940ff4f387f2f11c2203c
|
| 3 |
size 5048
|