Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use manasvinid/Sentiment-Analysis-on-Twitter-BCS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manasvinid/Sentiment-Analysis-on-Twitter-BCS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manasvinid/Sentiment-Analysis-on-Twitter-BCS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manasvinid/Sentiment-Analysis-on-Twitter-BCS") model = AutoModelForSequenceClassification.from_pretrained("manasvinid/Sentiment-Analysis-on-Twitter-BCS") - Notebooks
- Google Colab
- Kaggle
Commit ·
fc95bc9
1
Parent(s): 7086bbf
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438007925
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e04f4cdfa1af8a723fb076051a414504078614b817000a555123cf1603eae35b
|
| 3 |
size 438007925
|
runs/Jun21_11-02-47_62cfff0bcd05/events.out.tfevents.1687345381.62cfff0bcd05.5532.0
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:d3acc2445a4b6ba4070feaf885ba5324e5509f9c276c4a03bec32620838f508a
|
| 3 |
+
size 8927
|
runs/Jun21_11-02-47_62cfff0bcd05/events.out.tfevents.1687346888.62cfff0bcd05.5532.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:895916bad45617ca982f73d6086b517f3c80b0450720e40173696062b5631223
|
| 3 |
+
size 611
|