Text Classification
Transformers
TensorBoard
Safetensors
albert
Generated from Trainer
Eval Results (legacy)
Instructions to use NPCProgrammer/ALBERT_Emotions_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/ALBERT_Emotions_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/ALBERT_Emotions_tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/ALBERT_Emotions_tuned") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/ALBERT_Emotions_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1100
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:a32d344c74207490b048c141689af7bddce707b833325affa9cfdc373274ebef
|
| 3 |
size 46756216
|
runs/Mar13_06-04-54_24b1f86240b1/events.out.tfevents.1710310080.24b1f86240b1.224.0
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:f2ce0a1c571364912fe23013ef91b71e706234c5c3791242f9a0efb47661bc4d
|
| 3 |
+
size 9802
|