Instructions to use terminalai/essay-element-classifier-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use terminalai/essay-element-classifier-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="terminalai/essay-element-classifier-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("terminalai/essay-element-classifier-bert") model = AutoModelForSequenceClassification.from_pretrained("terminalai/essay-element-classifier-bert") - Notebooks
- Google Colab
- Kaggle
Commit ·
c041a87
1
Parent(s): 01f648c
Upload training_args.bin with git-lfs
Browse files- training_args.bin +3 -0
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2e0f78c6f88053fb2cc38d05afd7589b4c09f51886dad34697a8879b1356a3b
|
| 3 |
+
size 3119
|