Instructions to use tm21cy/albert-emotion-provided-params with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tm21cy/albert-emotion-provided-params with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tm21cy/albert-emotion-provided-params")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tm21cy/albert-emotion-provided-params") model = AutoModelForSequenceClassification.from_pretrained("tm21cy/albert-emotion-provided-params", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
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 sha256:2b1dbd6d7fd93ee7dae5862349bfef5d5d8d58b2aa9908a1612628cc7d4c1876
|
| 3 |
size 46756216
|
runs/Mar11_02-54-15_ebad219a5e6d/events.out.tfevents.1710125656.ebad219a5e6d.2185.4
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 sha256:5259ee0430ee1a01688563047a44350dacc9ffa0967fd5574e03c838eae9aa71
|
| 3 |
+
size 7817
|