Instructions to use lewin003/albert-emotions-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewin003/albert-emotions-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lewin003/albert-emotions-small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lewin003/albert-emotions-small") model = AutoModelForSequenceClassification.from_pretrained("lewin003/albert-emotions-small") - Notebooks
- Google Colab
- Kaggle
Upload AlbertForSequenceClassification
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 46756216
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b8484cf12a76cf5e4051cf55b409686163942993890ad7c0ef28fac2c16188d
|
| 3 |
size 46756216
|