Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use NurErtug/crowd_sourced_web_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NurErtug/crowd_sourced_web_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NurErtug/crowd_sourced_web_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NurErtug/crowd_sourced_web_classifier") model = AutoModelForSequenceClassification.from_pretrained("NurErtug/crowd_sourced_web_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 872
Browse files
runs/Dec01_16-01-14_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764601274.tsf-508-wpa-6-167.epfl.ch.1783.1
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:c30aad33b9e812c8164e6fefc26571b991aed3386027cc5e70669f1b08884ca2
|
| 3 |
+
size 25382
|
runs/Dec01_16-02-39_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764601359.tsf-508-wpa-6-167.epfl.ch.1783.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ffe310cd3636c7ec360d0f4822a225c0be547c8f31ad3acdfe38e4c40a567e76
|
| 3 |
+
size 24705
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5841
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87453d091ddc9fb2b99b0a01a9d7e6ef2959bfb5721ad04b7e4b2dec7555438a
|
| 3 |
size 5841
|