Instructions to use Valencio/LLM_course_MLM_model_TokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Valencio/LLM_course_MLM_model_TokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Valencio/LLM_course_MLM_model_TokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Valencio/LLM_course_MLM_model_TokenClassification") model = AutoModelForTokenClassification.from_pretrained("Valencio/LLM_course_MLM_model_TokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
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 265503852
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f50558c54ec6adfd38c3613e4fff378b72357006b34aeaed434537bf73207aff
|
| 3 |
size 265503852
|