FrameByFrame
/

programming-language-identification-100plus

Text Classification

programming-language-identification

language-detection

text-embeddings-inference

Model card Files Files and versions

vijaym commited on 5 days ago

Commit

23bcac5

·

verified ·

1 Parent(s): eec3a6f

README: use HF repo id

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -30,7 +30,7 @@ snippet across **107 languages**.
 import torch
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
-model_id = "programming-language-identification-100plus"  # or your HF repo id
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForSequenceClassification.from_pretrained(
     model_id,
@@ -67,7 +67,7 @@ pulling PyTorch — handy for non-Python consumers and edge deployments.
 from optimum.onnxruntime import ORTModelForSequenceClassification
 from transformers import AutoTokenizer
-model_id = "programming-language-identification-100plus"  # or your HF repo id
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 ort_model = ORTModelForSequenceClassification.from_pretrained(
     model_id, subfolder="onnx"

 import torch
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
+model_id = "FrameByFrame/programming-language-identification-100plus"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForSequenceClassification.from_pretrained(
     model_id,
 from optimum.onnxruntime import ORTModelForSequenceClassification
 from transformers import AutoTokenizer
+model_id = "FrameByFrame/programming-language-identification-100plus"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 ort_model = ORTModelForSequenceClassification.from_pretrained(
     model_id, subfolder="onnx"